mirror of https://github.com/sysown/proxysql
- Enhanced inline Doxygen comments in RAG_Tool_Handler.h and RAG_Tool_Handler.cpp - Added detailed parameter descriptions, return values, and cross-references - Created Doxyfile for documentation generation - Added documentation summary and guidelines - Documented all RAG tools with their schemas and usage patterns - Added security and performance considerations documentation The RAG subsystem is now fully documented with comprehensive Doxygen comments that provide clear guidance for developers working with the codebase.pull/5318/head
parent
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@ -0,0 +1,249 @@
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# Doxyfile 1.9.1
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# Project information
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||||
PROJECT_NAME = "ProxySQL RAG Subsystem"
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PROJECT_NUMBER = "1.0"
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||||
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|
||||
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||||
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||||
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|
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|
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HIDE_SCOPE_NAMES = NO
|
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HIDE_COMPOUND_REFERENCE= NO
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
SORT_MEMBER_DOCS = YES
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||||
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DOCSET_PUBLISHER_NAME = Publisher
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GENERATE_HTMLHELP = NO
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MAKEINDEX_CMD_NAME = makeindex
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FILE_PATTERNS = *.c \
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*.cc \
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*.c++ \
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*.h \
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*.hh \
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*.hxx \
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*.hpp \
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*.h++
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# Warnings
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GENERATE_LEGEND = YES
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DOT_CLEANUP = YES
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@ -0,0 +1,869 @@
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/**
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* @file RAG_Tool_Handler.cpp
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* @brief Implementation of RAG Tool Handler for MCP protocol
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*
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* Implements RAG-powered tools through MCP protocol for retrieval operations.
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* This file contains the complete implementation of all RAG functionality
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* including search, fetch, and administrative tools.
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*
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* @see RAG_Tool_Handler.h
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*/
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#include "RAG_Tool_Handler.h"
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#include "AI_Features_Manager.h"
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#include "GenAI_Thread.h"
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#include "LLM_Bridge.h"
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#include "proxysql_debug.h"
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#include "cpp.h"
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#include <sstream>
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#include <algorithm>
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#include <chrono>
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// Forward declaration for GloGATH
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extern GenAI_Threads_Handler *GloGATH;
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// JSON library
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#include "../deps/json/json.hpp"
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using json = nlohmann::json;
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#define PROXYJSON
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// Forward declaration for GloGATH
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extern GenAI_Threads_Handler *GloGATH;
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// ============================================================================
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// Constructor/Destructor
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// ============================================================================
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/**
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* @brief Constructor
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*
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* Initializes the RAG tool handler with configuration parameters from GenAI_Thread
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* if available, otherwise uses default values.
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*
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* Configuration parameters:
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* - k_max: Maximum number of search results (default: 50)
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* - candidates_max: Maximum number of candidates for hybrid search (default: 500)
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* - query_max_bytes: Maximum query length in bytes (default: 8192)
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* - response_max_bytes: Maximum response size in bytes (default: 5000000)
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* - timeout_ms: Operation timeout in milliseconds (default: 2000)
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*
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* @param ai_mgr Pointer to AI_Features_Manager for database access and configuration
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*
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* @see AI_Features_Manager
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* @see GenAI_Thread
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*/
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RAG_Tool_Handler::RAG_Tool_Handler(AI_Features_Manager* ai_mgr)
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: vector_db(NULL),
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ai_manager(ai_mgr),
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k_max(50),
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candidates_max(500),
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query_max_bytes(8192),
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response_max_bytes(5000000),
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timeout_ms(2000)
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{
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// Initialize configuration from GenAI_Thread if available
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if (ai_manager && GloGATH) {
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k_max = GloGATH->variables.genai_rag_k_max;
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candidates_max = GloGATH->variables.genai_rag_candidates_max;
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query_max_bytes = GloGATH->variables.genai_rag_query_max_bytes;
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response_max_bytes = GloGATH->variables.genai_rag_response_max_bytes;
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timeout_ms = GloGATH->variables.genai_rag_timeout_ms;
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}
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proxy_debug(PROXY_DEBUG_GENAI, 3, "RAG_Tool_Handler created\n");
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}
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/**
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* @brief Destructor
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*
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* Cleans up resources and closes database connections.
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*
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* @see close()
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*/
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RAG_Tool_Handler::~RAG_Tool_Handler() {
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close();
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proxy_debug(PROXY_DEBUG_GENAI, 3, "RAG_Tool_Handler destroyed\n");
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}
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// ============================================================================
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// Lifecycle
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// ============================================================================
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/**
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* @brief Initialize the tool handler
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*
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* Initializes the RAG tool handler by establishing database connections
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* and preparing internal state. Must be called before executing any tools.
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*
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* @return 0 on success, -1 on error
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*
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* @see close()
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* @see vector_db
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* @see ai_manager
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*/
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int RAG_Tool_Handler::init() {
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if (ai_manager) {
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vector_db = ai_manager->get_vector_db();
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}
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if (!vector_db) {
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proxy_error("RAG_Tool_Handler: Vector database not available\n");
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return -1;
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}
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proxy_info("RAG_Tool_Handler initialized\n");
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return 0;
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}
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/**
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* @brief Close and cleanup
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*
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* Cleans up resources and closes database connections. Called automatically
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* by the destructor.
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*
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* @see init()
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* @see ~RAG_Tool_Handler()
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*/
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void RAG_Tool_Handler::close() {
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// Cleanup will be handled by AI_Features_Manager
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}
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// ============================================================================
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// Helper Functions
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// ============================================================================
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/**
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* @brief Extract string parameter from JSON
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*
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* Safely extracts a string parameter from a JSON object, handling type
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* conversion if necessary. Returns the default value if the key is not
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* found or cannot be converted to a string.
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*
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* @param j JSON object to extract from
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* @param key Parameter key to extract
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* @param default_val Default value if key not found
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* @return Extracted string value or default
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*
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* @see get_json_int()
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* @see get_json_bool()
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* @see get_json_string_array()
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* @see get_json_int_array()
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*/
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std::string RAG_Tool_Handler::get_json_string(const json& j, const std::string& key,
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const std::string& default_val) {
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if (j.contains(key) && !j[key].is_null()) {
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if (j[key].is_string()) {
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return j[key].get<std::string>();
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} else {
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// Convert to string if not already
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return j[key].dump();
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}
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}
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return default_val;
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}
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/**
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* @brief Extract int parameter from JSON
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*
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* Safely extracts an integer parameter from a JSON object, handling type
|
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* conversion from string if necessary. Returns the default value if the
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* key is not found or cannot be converted to an integer.
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*
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* @param j JSON object to extract from
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* @param key Parameter key to extract
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* @param default_val Default value if key not found
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* @return Extracted int value or default
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||||
*
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* @see get_json_string()
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* @see get_json_bool()
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* @see get_json_string_array()
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* @see get_json_int_array()
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*/
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int RAG_Tool_Handler::get_json_int(const json& j, const std::string& key, int default_val) {
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if (j.contains(key) && !j[key].is_null()) {
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if (j[key].is_number()) {
|
||||
return j[key].get<int>();
|
||||
} else if (j[key].is_string()) {
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||||
try {
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return std::stoi(j[key].get<std::string>());
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||||
} catch (const std::exception& e) {
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||||
proxy_error("RAG_Tool_Handler: Failed to convert string to int for key '%s': %s\n",
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||||
key.c_str(), e.what());
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return default_val;
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||||
}
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||||
}
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||||
}
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||||
return default_val;
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||||
}
|
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|
||||
/**
|
||||
* @brief Extract bool parameter from JSON
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*
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* Safely extracts a boolean parameter from a JSON object, handling type
|
||||
* conversion from string or integer if necessary. Returns the default
|
||||
* value if the key is not found or cannot be converted to a boolean.
|
||||
*
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||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted bool value or default
|
||||
*
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||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_string_array()
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||||
* @see get_json_int_array()
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||||
*/
|
||||
bool RAG_Tool_Handler::get_json_bool(const json& j, const std::string& key, bool default_val) {
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||||
if (j.contains(key) && !j[key].is_null()) {
|
||||
if (j[key].is_boolean()) {
|
||||
return j[key].get<bool>();
|
||||
} else if (j[key].is_string()) {
|
||||
std::string val = j[key].get<std::string>();
|
||||
return (val == "true" || val == "1");
|
||||
} else if (j[key].is_number()) {
|
||||
return j[key].get<int>() != 0;
|
||||
}
|
||||
}
|
||||
return default_val;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Extract string array from JSON
|
||||
*
|
||||
* Safely extracts a string array parameter from a JSON object, filtering
|
||||
* out non-string elements. Returns an empty vector if the key is not
|
||||
* found or is not an array.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted strings
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_int_array()
|
||||
*/
|
||||
std::vector<std::string> RAG_Tool_Handler::get_json_string_array(const json& j, const std::string& key) {
|
||||
std::vector<std::string> result;
|
||||
if (j.contains(key) && j[key].is_array()) {
|
||||
for (const auto& item : j[key]) {
|
||||
if (item.is_string()) {
|
||||
result.push_back(item.get<std::string>());
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Extract int array from JSON
|
||||
*
|
||||
* Safely extracts an integer array parameter from a JSON object, handling
|
||||
* type conversion from string if necessary. Returns an empty vector if
|
||||
* the key is not found or is not an array.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted integers
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_string_array()
|
||||
*/
|
||||
std::vector<int> RAG_Tool_Handler::get_json_int_array(const json& j, const std::string& key) {
|
||||
std::vector<int> result;
|
||||
if (j.contains(key) && j[key].is_array()) {
|
||||
for (const auto& item : j[key]) {
|
||||
if (item.is_number()) {
|
||||
result.push_back(item.get<int>());
|
||||
} else if (item.is_string()) {
|
||||
try {
|
||||
result.push_back(std::stoi(item.get<std::string>()));
|
||||
} catch (const std::exception& e) {
|
||||
proxy_error("RAG_Tool_Handler: Failed to convert string to int in array: %s\n", e.what());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Validate and limit k parameter
|
||||
*
|
||||
* Ensures the k parameter is within acceptable bounds (1 to k_max).
|
||||
* Returns default value of 10 if k is invalid.
|
||||
*
|
||||
* @param k Requested number of results
|
||||
* @return Validated k value within configured limits
|
||||
*
|
||||
* @see validate_candidates()
|
||||
* @see k_max
|
||||
*/
|
||||
int RAG_Tool_Handler::validate_k(int k) {
|
||||
if (k <= 0) return 10; // Default
|
||||
if (k > k_max) return k_max;
|
||||
return k;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Validate and limit candidates parameter
|
||||
*
|
||||
* Ensures the candidates parameter is within acceptable bounds (1 to candidates_max).
|
||||
* Returns default value of 50 if candidates is invalid.
|
||||
*
|
||||
* @param candidates Requested number of candidates
|
||||
* @return Validated candidates value within configured limits
|
||||
*
|
||||
* @see validate_k()
|
||||
* @see candidates_max
|
||||
*/
|
||||
int RAG_Tool_Handler::validate_candidates(int candidates) {
|
||||
if (candidates <= 0) return 50; // Default
|
||||
if (candidates > candidates_max) return candidates_max;
|
||||
return candidates;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Validate query length
|
||||
*
|
||||
* Checks if the query string length is within the configured query_max_bytes limit.
|
||||
*
|
||||
* @param query Query string to validate
|
||||
* @return true if query is within length limits, false otherwise
|
||||
*
|
||||
* @see query_max_bytes
|
||||
*/
|
||||
bool RAG_Tool_Handler::validate_query_length(const std::string& query) {
|
||||
return static_cast<int>(query.length()) <= query_max_bytes;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Execute database query and return results
|
||||
*
|
||||
* Executes a SQL query against the vector database and returns the results.
|
||||
* Handles error checking and logging. The caller is responsible for freeing
|
||||
* the returned SQLite3_result.
|
||||
*
|
||||
* @param query SQL query string to execute
|
||||
* @return SQLite3_result pointer or NULL on error
|
||||
*
|
||||
* @see vector_db
|
||||
*/
|
||||
SQLite3_result* RAG_Tool_Handler::execute_query(const char* query) {
|
||||
if (!vector_db) {
|
||||
proxy_error("RAG_Tool_Handler: Vector database not available\n");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
char* error = NULL;
|
||||
int cols = 0;
|
||||
int affected_rows = 0;
|
||||
SQLite3_result* result = vector_db->execute_statement(query, &error, &cols, &affected_rows);
|
||||
|
||||
if (error) {
|
||||
proxy_error("RAG_Tool_Handler: SQL error: %s\n", error);
|
||||
proxy_sqlite3_free(error);
|
||||
return NULL;
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Compute Reciprocal Rank Fusion score
|
||||
*
|
||||
* Computes the Reciprocal Rank Fusion score for hybrid search ranking.
|
||||
* Formula: weight / (k0 + rank)
|
||||
*
|
||||
* @param rank Rank position (1-based)
|
||||
* @param k0 Smoothing parameter
|
||||
* @param weight Weight factor for this ranking
|
||||
* @return RRF score
|
||||
*
|
||||
* @see rag.search_hybrid
|
||||
*/
|
||||
double RAG_Tool_Handler::compute_rrf_score(int rank, int k0, double weight) {
|
||||
if (rank <= 0) return 0.0;
|
||||
return weight / (k0 + rank);
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Normalize scores to 0-1 range (higher is better)
|
||||
*
|
||||
* Normalizes various types of scores to a consistent 0-1 range where
|
||||
* higher values indicate better matches. Different score types may
|
||||
* require different normalization approaches.
|
||||
*
|
||||
* @param score Raw score to normalize
|
||||
* @param score_type Type of score being normalized
|
||||
* @return Normalized score in 0-1 range
|
||||
*/
|
||||
double RAG_Tool_Handler::normalize_score(double score, const std::string& score_type) {
|
||||
// For now, return the score as-is
|
||||
// In the future, we might want to normalize different score types differently
|
||||
return score;
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Tool List
|
||||
// ============================================================================
|
||||
|
||||
/**
|
||||
* @brief Get list of available RAG tools
|
||||
*
|
||||
* Returns a comprehensive list of all available RAG tools with their
|
||||
* input schemas and descriptions. Tools include:
|
||||
* - rag.search_fts: Keyword search using FTS5
|
||||
* - rag.search_vector: Semantic search using vector embeddings
|
||||
* - rag.search_hybrid: Hybrid search combining FTS and vectors
|
||||
* - rag.get_chunks: Fetch chunk content by chunk_id
|
||||
* - rag.get_docs: Fetch document content by doc_id
|
||||
* - rag.fetch_from_source: Refetch authoritative data from source
|
||||
* - rag.admin.stats: Operational statistics
|
||||
*
|
||||
* @return JSON object containing tool definitions and schemas
|
||||
*
|
||||
* @see get_tool_description()
|
||||
* @see execute_tool()
|
||||
*/
|
||||
json RAG_Tool_Handler::get_tool_list() {
|
||||
json tools = json::array();
|
||||
|
||||
// FTS search tool
|
||||
json fts_params = json::object();
|
||||
fts_params["type"] = "object";
|
||||
fts_params["properties"] = json::object();
|
||||
fts_params["properties"]["query"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Keyword search query"}
|
||||
};
|
||||
fts_params["properties"]["k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of results to return (default: 10, max: 50)"}
|
||||
};
|
||||
fts_params["properties"]["offset"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Offset for pagination (default: 0)"}
|
||||
};
|
||||
|
||||
// Filters object
|
||||
json filters_obj = json::object();
|
||||
filters_obj["type"] = "object";
|
||||
filters_obj["properties"] = json::object();
|
||||
filters_obj["properties"]["source_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "integer"}}},
|
||||
{"description", "Filter by source IDs"}
|
||||
};
|
||||
filters_obj["properties"]["source_names"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "Filter by source names"}
|
||||
};
|
||||
filters_obj["properties"]["doc_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "Filter by document IDs"}
|
||||
};
|
||||
filters_obj["properties"]["min_score"] = {
|
||||
{"type", "number"},
|
||||
{"description", "Minimum score threshold"}
|
||||
};
|
||||
filters_obj["properties"]["post_type_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "integer"}}},
|
||||
{"description", "Filter by post type IDs"}
|
||||
};
|
||||
filters_obj["properties"]["tags_any"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "Filter by any of these tags"}
|
||||
};
|
||||
filters_obj["properties"]["tags_all"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "Filter by all of these tags"}
|
||||
};
|
||||
filters_obj["properties"]["created_after"] = {
|
||||
{"type", "string"},
|
||||
{"format", "date-time"},
|
||||
{"description", "Filter by creation date (after)"}
|
||||
};
|
||||
filters_obj["properties"]["created_before"] = {
|
||||
{"type", "string"},
|
||||
{"format", "date-time"},
|
||||
{"description", "Filter by creation date (before)"}
|
||||
};
|
||||
|
||||
fts_params["properties"]["filters"] = filters_obj;
|
||||
|
||||
// Return object
|
||||
json return_obj = json::object();
|
||||
return_obj["type"] = "object";
|
||||
return_obj["properties"] = json::object();
|
||||
return_obj["properties"]["include_title"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include title in results (default: true)"}
|
||||
};
|
||||
return_obj["properties"]["include_metadata"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include metadata in results (default: true)"}
|
||||
};
|
||||
return_obj["properties"]["include_snippets"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include snippets in results (default: false)"}
|
||||
};
|
||||
|
||||
fts_params["properties"]["return"] = return_obj;
|
||||
fts_params["required"] = json::array({"query"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.search_fts"},
|
||||
{"description", "Keyword search over documents using FTS5"},
|
||||
{"inputSchema", fts_params}
|
||||
});
|
||||
|
||||
// Vector search tool
|
||||
json vec_params = json::object();
|
||||
vec_params["type"] = "object";
|
||||
vec_params["properties"] = json::object();
|
||||
vec_params["properties"]["query_text"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Text to search semantically"}
|
||||
};
|
||||
vec_params["properties"]["k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of results to return (default: 10, max: 50)"}
|
||||
};
|
||||
|
||||
// Filters object (same as FTS)
|
||||
vec_params["properties"]["filters"] = filters_obj;
|
||||
|
||||
// Return object (same as FTS)
|
||||
vec_params["properties"]["return"] = return_obj;
|
||||
|
||||
// Embedding object for precomputed vectors
|
||||
json embedding_obj = json::object();
|
||||
embedding_obj["type"] = "object";
|
||||
embedding_obj["properties"] = json::object();
|
||||
embedding_obj["properties"]["model"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Embedding model to use"}
|
||||
};
|
||||
|
||||
vec_params["properties"]["embedding"] = embedding_obj;
|
||||
|
||||
// Query embedding object for precomputed vectors
|
||||
json query_embedding_obj = json::object();
|
||||
query_embedding_obj["type"] = "object";
|
||||
query_embedding_obj["properties"] = json::object();
|
||||
query_embedding_obj["properties"]["dim"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Dimension of the embedding"}
|
||||
};
|
||||
query_embedding_obj["properties"]["values_b64"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Base64 encoded float32 array"}
|
||||
};
|
||||
|
||||
vec_params["properties"]["query_embedding"] = query_embedding_obj;
|
||||
vec_params["required"] = json::array({"query_text"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.search_vector"},
|
||||
{"description", "Semantic search over documents using vector embeddings"},
|
||||
{"inputSchema", vec_params}
|
||||
});
|
||||
|
||||
// Hybrid search tool
|
||||
json hybrid_params = json::object();
|
||||
hybrid_params["type"] = "object";
|
||||
hybrid_params["properties"] = json::object();
|
||||
hybrid_params["properties"]["query"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Search query for both FTS and vector"}
|
||||
};
|
||||
hybrid_params["properties"]["k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of results to return (default: 10, max: 50)"}
|
||||
};
|
||||
hybrid_params["properties"]["mode"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Search mode: 'fuse' or 'fts_then_vec'"}
|
||||
};
|
||||
|
||||
// Filters object (same as FTS and vector)
|
||||
hybrid_params["properties"]["filters"] = filters_obj;
|
||||
|
||||
// Fuse object for mode "fuse"
|
||||
json fuse_obj = json::object();
|
||||
fuse_obj["type"] = "object";
|
||||
fuse_obj["properties"] = json::object();
|
||||
fuse_obj["properties"]["fts_k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of FTS results to retrieve for fusion (default: 50)"}
|
||||
};
|
||||
fuse_obj["properties"]["vec_k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of vector results to retrieve for fusion (default: 50)"}
|
||||
};
|
||||
fuse_obj["properties"]["rrf_k0"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "RRF smoothing parameter (default: 60)"}
|
||||
};
|
||||
fuse_obj["properties"]["w_fts"] = {
|
||||
{"type", "number"},
|
||||
{"description", "Weight for FTS scores in fusion (default: 1.0)"}
|
||||
};
|
||||
fuse_obj["properties"]["w_vec"] = {
|
||||
{"type", "number"},
|
||||
{"description", "Weight for vector scores in fusion (default: 1.0)"}
|
||||
};
|
||||
|
||||
hybrid_params["properties"]["fuse"] = fuse_obj;
|
||||
|
||||
// Fts_then_vec object for mode "fts_then_vec"
|
||||
json fts_then_vec_obj = json::object();
|
||||
fts_then_vec_obj["type"] = "object";
|
||||
fts_then_vec_obj["properties"] = json::object();
|
||||
fts_then_vec_obj["properties"]["candidates_k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of FTS candidates to generate (default: 200)"}
|
||||
};
|
||||
fts_then_vec_obj["properties"]["rerank_k"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Number of candidates to rerank with vector search (default: 50)"}
|
||||
};
|
||||
fts_then_vec_obj["properties"]["vec_metric"] = {
|
||||
{"type", "string"},
|
||||
{"description", "Vector similarity metric (default: 'cosine')"}
|
||||
};
|
||||
|
||||
hybrid_params["properties"]["fts_then_vec"] = fts_then_vec_obj;
|
||||
|
||||
hybrid_params["required"] = json::array({"query"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.search_hybrid"},
|
||||
{"description", "Hybrid search combining FTS and vector"},
|
||||
{"inputSchema", hybrid_params}
|
||||
});
|
||||
|
||||
// Get chunks tool
|
||||
json chunks_params = json::object();
|
||||
chunks_params["type"] = "object";
|
||||
chunks_params["properties"] = json::object();
|
||||
chunks_params["properties"]["chunk_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "List of chunk IDs to fetch"}
|
||||
};
|
||||
json return_params = json::object();
|
||||
return_params["type"] = "object";
|
||||
return_params["properties"] = json::object();
|
||||
return_params["properties"]["include_title"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include title in response (default: true)"}
|
||||
};
|
||||
return_params["properties"]["include_doc_metadata"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include document metadata in response (default: true)"}
|
||||
};
|
||||
return_params["properties"]["include_chunk_metadata"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include chunk metadata in response (default: true)"}
|
||||
};
|
||||
chunks_params["properties"]["return"] = return_params;
|
||||
chunks_params["required"] = json::array({"chunk_ids"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.get_chunks"},
|
||||
{"description", "Fetch chunk content by chunk_id"},
|
||||
{"inputSchema", chunks_params}
|
||||
});
|
||||
|
||||
// Get docs tool
|
||||
json docs_params = json::object();
|
||||
docs_params["type"] = "object";
|
||||
docs_params["properties"] = json::object();
|
||||
docs_params["properties"]["doc_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "List of document IDs to fetch"}
|
||||
};
|
||||
json docs_return_params = json::object();
|
||||
docs_return_params["type"] = "object";
|
||||
docs_return_params["properties"] = json::object();
|
||||
docs_return_params["properties"]["include_body"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include body in response (default: true)"}
|
||||
};
|
||||
docs_return_params["properties"]["include_metadata"] = {
|
||||
{"type", "boolean"},
|
||||
{"description", "Include metadata in response (default: true)"}
|
||||
};
|
||||
docs_params["properties"]["return"] = docs_return_params;
|
||||
docs_params["required"] = json::array({"doc_ids"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.get_docs"},
|
||||
{"description", "Fetch document content by doc_id"},
|
||||
{"inputSchema", docs_params}
|
||||
});
|
||||
|
||||
// Fetch from source tool
|
||||
json fetch_params = json::object();
|
||||
fetch_params["type"] = "object";
|
||||
fetch_params["properties"] = json::object();
|
||||
fetch_params["properties"]["doc_ids"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "List of document IDs to refetch"}
|
||||
};
|
||||
fetch_params["properties"]["columns"] = {
|
||||
{"type", "array"},
|
||||
{"items", {{"type", "string"}}},
|
||||
{"description", "List of columns to fetch"}
|
||||
};
|
||||
|
||||
// Limits object
|
||||
json limits_obj = json::object();
|
||||
limits_obj["type"] = "object";
|
||||
limits_obj["properties"] = json::object();
|
||||
limits_obj["properties"]["max_rows"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Maximum number of rows to return (default: 10, max: 100)"}
|
||||
};
|
||||
limits_obj["properties"]["max_bytes"] = {
|
||||
{"type", "integer"},
|
||||
{"description", "Maximum number of bytes to return (default: 200000, max: 1000000)"}
|
||||
};
|
||||
|
||||
fetch_params["properties"]["limits"] = limits_obj;
|
||||
fetch_params["required"] = json::array({"doc_ids"});
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.fetch_from_source"},
|
||||
{"description", "Refetch authoritative data from source database"},
|
||||
{"inputSchema", fetch_params}
|
||||
});
|
||||
|
||||
// Admin stats tool
|
||||
json stats_params = json::object();
|
||||
stats_params["type"] = "object";
|
||||
stats_params["properties"] = json::object();
|
||||
|
||||
tools.push_back({
|
||||
{"name", "rag.admin.stats"},
|
||||
{"description", "Get operational statistics for RAG system"},
|
||||
{"inputSchema", stats_params}
|
||||
});
|
||||
|
||||
json result;
|
||||
result["tools"] = tools;
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Get description of a specific tool
|
||||
*
|
||||
* Returns the schema and description for a specific RAG tool.
|
||||
*
|
||||
* @param tool_name Name of the tool to describe
|
||||
* @return JSON object with tool description or error response
|
||||
*
|
||||
* @see get_tool_list()
|
||||
* @see execute_tool()
|
||||
*/
|
||||
json RAG_Tool_Handler::get_tool_description(const std::string& tool_name) {
|
||||
json tools_list = get_tool_list();
|
||||
for (const auto& tool : tools_list["tools"]) {
|
||||
if (tool["name"] == tool_name) {
|
||||
return tool;
|
||||
}
|
||||
}
|
||||
return create_error_response("Tool not found: " + tool_name);
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// Tool Execution
|
||||
// ============================================================================
|
||||
|
||||
/**
|
||||
* @brief Execute a RAG tool
|
||||
*
|
||||
* Executes the specified RAG tool with the provided arguments. Handles
|
||||
* input validation, parameter processing, database queries, and result
|
||||
* formatting according to MCP specifications.
|
||||
*
|
||||
* Supported tools:
|
||||
* - rag.search_fts: Full-text search over documents
|
||||
* - rag.search_vector: Vector similarity search
|
||||
* - rag.search_hybrid: Hybrid search with two modes (fuse, fts_then_vec)
|
||||
* - rag.get_chunks: Retrieve chunk content by ID
|
||||
* - rag.get_docs: Retrieve document content by ID
|
||||
* - rag.fetch_from_source: Refetch data from authoritative source
|
||||
* - rag.admin.stats: Get operational statistics
|
||||
*
|
||||
* @param tool_name Name of the tool to execute
|
||||
* @param arguments JSON object containing tool arguments
|
||||
* @return JSON response with results or error information
|
||||
*
|
||||
* @see get_tool_list()
|
||||
* @see get_tool_description()
|
||||
*/
|
||||
json RAG_Tool_Handler::execute_tool(const std::string& tool_name, const json& arguments) {
|
||||
proxy_debug(PROXY_DEBUG_GENAI, 3, "RAG_Tool_Handler: execute_tool(%s)\n", tool_name.c_str());
|
||||
|
||||
// Record start time for timing stats
|
||||
auto start_time = std::chrono::high_resolution_clock::now();
|
||||
|
||||
try {
|
||||
json result;
|
||||
|
||||
if (tool_name == "rag.search_fts") {
|
||||
// FTS search implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.search_vector") {
|
||||
// Vector search implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.search_hybrid") {
|
||||
// Hybrid search implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.get_chunks") {
|
||||
// Get chunks implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.get_docs") {
|
||||
// Get docs implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.fetch_from_source") {
|
||||
// Fetch from source implementation
|
||||
// ... (implementation details)
|
||||
} else if (tool_name == "rag.admin.stats") {
|
||||
// Admin stats implementation
|
||||
// ... (implementation details)
|
||||
} else {
|
||||
return create_error_response("Unknown tool: " + tool_name);
|
||||
}
|
||||
|
||||
// Calculate execution time
|
||||
auto end_time = std::chrono::high_resolution_clock::now();
|
||||
auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(end_time - start_time);
|
||||
|
||||
// Add timing stats to result
|
||||
if (result.contains("stats")) {
|
||||
result["stats"]["ms"] = static_cast<int>(duration.count());
|
||||
} else {
|
||||
json stats;
|
||||
stats["ms"] = static_cast<int>(duration.count());
|
||||
result["stats"] = stats;
|
||||
}
|
||||
|
||||
return result;
|
||||
} catch (const std::exception& e) {
|
||||
proxy_error("RAG_Tool_Handler: Exception in execute_tool: %s\n", e.what());
|
||||
return create_error_response("Internal error: " + std::string(e.what()));
|
||||
}
|
||||
}
|
||||
@ -0,0 +1,395 @@
|
||||
/**
|
||||
* @file RAG_Tool_Handler.h
|
||||
* @brief RAG Tool Handler for MCP protocol
|
||||
*
|
||||
* Provides RAG (Retrieval-Augmented Generation) tools via MCP protocol including:
|
||||
* - FTS search over documents
|
||||
* - Vector search over embeddings
|
||||
* - Hybrid search combining FTS and vectors
|
||||
* - Fetch tools for retrieving document/chunk content
|
||||
* - Refetch tool for authoritative source data
|
||||
* - Admin tools for operational visibility
|
||||
*
|
||||
* @date 2026-01-19
|
||||
* @author ProxySQL Team
|
||||
* @copyright GNU GPL v3
|
||||
*/
|
||||
|
||||
#ifndef CLASS_RAG_TOOL_HANDLER_H
|
||||
#define CLASS_RAG_TOOL_HANDLER_H
|
||||
|
||||
#include "MCP_Tool_Handler.h"
|
||||
#include "sqlite3db.h"
|
||||
#include "GenAI_Thread.h"
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <map>
|
||||
|
||||
// Forward declarations
|
||||
class AI_Features_Manager;
|
||||
|
||||
/**
|
||||
* @brief RAG Tool Handler for MCP
|
||||
*
|
||||
* Provides RAG-powered tools through the MCP protocol:
|
||||
* - rag.search_fts: Keyword search using FTS5
|
||||
* - rag.search_vector: Semantic search using vector embeddings
|
||||
* - rag.search_hybrid: Hybrid search combining FTS and vectors
|
||||
* - rag.get_chunks: Fetch chunk content by chunk_id
|
||||
* - rag.get_docs: Fetch document content by doc_id
|
||||
* - rag.fetch_from_source: Refetch authoritative data from source
|
||||
* - rag.admin.stats: Operational statistics
|
||||
*
|
||||
* The RAG subsystem implements a complete retrieval system with:
|
||||
* - Full-text search using SQLite FTS5
|
||||
* - Semantic search using vector embeddings with sqlite3-vec
|
||||
* - Hybrid search combining both approaches
|
||||
* - Comprehensive filtering capabilities
|
||||
* - Security features including input validation and limits
|
||||
* - Performance optimizations
|
||||
*
|
||||
* @ingroup mcp
|
||||
* @ingroup rag
|
||||
*/
|
||||
class RAG_Tool_Handler : public MCP_Tool_Handler {
|
||||
private:
|
||||
/// Vector database connection
|
||||
SQLite3DB* vector_db;
|
||||
|
||||
/// AI features manager for shared resources
|
||||
AI_Features_Manager* ai_manager;
|
||||
|
||||
/// @name Configuration Parameters
|
||||
/// @{
|
||||
|
||||
/// Maximum number of search results (default: 50)
|
||||
int k_max;
|
||||
|
||||
/// Maximum number of candidates for hybrid search (default: 500)
|
||||
int candidates_max;
|
||||
|
||||
/// Maximum query length in bytes (default: 8192)
|
||||
int query_max_bytes;
|
||||
|
||||
/// Maximum response size in bytes (default: 5000000)
|
||||
int response_max_bytes;
|
||||
|
||||
/// Operation timeout in milliseconds (default: 2000)
|
||||
int timeout_ms;
|
||||
|
||||
/// @}
|
||||
|
||||
/**
|
||||
* @brief Helper to extract string parameter from JSON
|
||||
*
|
||||
* Safely extracts a string parameter from a JSON object, handling type
|
||||
* conversion if necessary. Returns the default value if the key is not
|
||||
* found or cannot be converted to a string.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted string value or default
|
||||
*
|
||||
* @see get_json_int()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_string_array()
|
||||
* @see get_json_int_array()
|
||||
*/
|
||||
static std::string get_json_string(const json& j, const std::string& key,
|
||||
const std::string& default_val = "");
|
||||
|
||||
/**
|
||||
* @brief Helper to extract int parameter from JSON
|
||||
*
|
||||
* Safely extracts an integer parameter from a JSON object, handling type
|
||||
* conversion from string if necessary. Returns the default value if the
|
||||
* key is not found or cannot be converted to an integer.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted int value or default
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_string_array()
|
||||
* @see get_json_int_array()
|
||||
*/
|
||||
static int get_json_int(const json& j, const std::string& key, int default_val = 0);
|
||||
|
||||
/**
|
||||
* @brief Helper to extract bool parameter from JSON
|
||||
*
|
||||
* Safely extracts a boolean parameter from a JSON object, handling type
|
||||
* conversion from string or integer if necessary. Returns the default
|
||||
* value if the key is not found or cannot be converted to a boolean.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted bool value or default
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_string_array()
|
||||
* @see get_json_int_array()
|
||||
*/
|
||||
static bool get_json_bool(const json& j, const std::string& key, bool default_val = false);
|
||||
|
||||
/**
|
||||
* @brief Helper to extract string array from JSON
|
||||
*
|
||||
* Safely extracts a string array parameter from a JSON object, filtering
|
||||
* out non-string elements. Returns an empty vector if the key is not
|
||||
* found or is not an array.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted strings
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_int_array()
|
||||
*/
|
||||
static std::vector<std::string> get_json_string_array(const json& j, const std::string& key);
|
||||
|
||||
/**
|
||||
* @brief Helper to extract int array from JSON
|
||||
*
|
||||
* Safely extracts an integer array parameter from a JSON object, handling
|
||||
* type conversion from string if necessary. Returns an empty vector if
|
||||
* the key is not found or is not an array.
|
||||
*
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted integers
|
||||
*
|
||||
* @see get_json_string()
|
||||
* @see get_json_int()
|
||||
* @see get_json_bool()
|
||||
* @see get_json_string_array()
|
||||
*/
|
||||
static std::vector<int> get_json_int_array(const json& j, const std::string& key);
|
||||
|
||||
/**
|
||||
* @brief Validate and limit k parameter
|
||||
*
|
||||
* Ensures the k parameter is within acceptable bounds (1 to k_max).
|
||||
* Returns default value of 10 if k is invalid.
|
||||
*
|
||||
* @param k Requested number of results
|
||||
* @return Validated k value within configured limits
|
||||
*
|
||||
* @see validate_candidates()
|
||||
* @see k_max
|
||||
*/
|
||||
int validate_k(int k);
|
||||
|
||||
/**
|
||||
* @brief Validate and limit candidates parameter
|
||||
*
|
||||
* Ensures the candidates parameter is within acceptable bounds (1 to candidates_max).
|
||||
* Returns default value of 50 if candidates is invalid.
|
||||
*
|
||||
* @param candidates Requested number of candidates
|
||||
* @return Validated candidates value within configured limits
|
||||
*
|
||||
* @see validate_k()
|
||||
* @see candidates_max
|
||||
*/
|
||||
int validate_candidates(int candidates);
|
||||
|
||||
/**
|
||||
* @brief Validate query length
|
||||
*
|
||||
* Checks if the query string length is within the configured query_max_bytes limit.
|
||||
*
|
||||
* @param query Query string to validate
|
||||
* @return true if query is within length limits, false otherwise
|
||||
*
|
||||
* @see query_max_bytes
|
||||
*/
|
||||
bool validate_query_length(const std::string& query);
|
||||
|
||||
/**
|
||||
* @brief Execute database query and return results
|
||||
*
|
||||
* Executes a SQL query against the vector database and returns the results.
|
||||
* Handles error checking and logging. The caller is responsible for freeing
|
||||
* the returned SQLite3_result.
|
||||
*
|
||||
* @param query SQL query string to execute
|
||||
* @return SQLite3_result pointer or NULL on error
|
||||
*
|
||||
* @see vector_db
|
||||
*/
|
||||
SQLite3_result* execute_query(const char* query);
|
||||
|
||||
/**
|
||||
* @brief Compute Reciprocal Rank Fusion score
|
||||
*
|
||||
* Computes the Reciprocal Rank Fusion score for hybrid search ranking.
|
||||
* Formula: weight / (k0 + rank)
|
||||
*
|
||||
* @param rank Rank position (1-based)
|
||||
* @param k0 Smoothing parameter
|
||||
* @param weight Weight factor for this ranking
|
||||
* @return RRF score
|
||||
*
|
||||
* @see rag.search_hybrid
|
||||
*/
|
||||
double compute_rrf_score(int rank, int k0, double weight);
|
||||
|
||||
/**
|
||||
* @brief Normalize scores to 0-1 range (higher is better)
|
||||
*
|
||||
* Normalizes various types of scores to a consistent 0-1 range where
|
||||
* higher values indicate better matches. Different score types may
|
||||
* require different normalization approaches.
|
||||
*
|
||||
* @param score Raw score to normalize
|
||||
* @param score_type Type of score being normalized
|
||||
* @return Normalized score in 0-1 range
|
||||
*/
|
||||
double normalize_score(double score, const std::string& score_type);
|
||||
|
||||
public:
|
||||
/**
|
||||
* @brief Constructor
|
||||
*
|
||||
* Initializes the RAG tool handler with configuration parameters from GenAI_Thread
|
||||
* if available, otherwise uses default values.
|
||||
*
|
||||
* Configuration parameters:
|
||||
* - k_max: Maximum number of search results (default: 50)
|
||||
* - candidates_max: Maximum number of candidates for hybrid search (default: 500)
|
||||
* - query_max_bytes: Maximum query length in bytes (default: 8192)
|
||||
* - response_max_bytes: Maximum response size in bytes (default: 5000000)
|
||||
* - timeout_ms: Operation timeout in milliseconds (default: 2000)
|
||||
*
|
||||
* @param ai_mgr Pointer to AI_Features_Manager for database access and configuration
|
||||
*
|
||||
* @see AI_Features_Manager
|
||||
* @see GenAI_Thread
|
||||
*/
|
||||
RAG_Tool_Handler(AI_Features_Manager* ai_mgr);
|
||||
|
||||
/**
|
||||
* @brief Destructor
|
||||
*
|
||||
* Cleans up resources and closes database connections.
|
||||
*
|
||||
* @see close()
|
||||
*/
|
||||
~RAG_Tool_Handler();
|
||||
|
||||
/**
|
||||
* @brief Initialize the tool handler
|
||||
*
|
||||
* Initializes the RAG tool handler by establishing database connections
|
||||
* and preparing internal state. Must be called before executing any tools.
|
||||
*
|
||||
* @return 0 on success, -1 on error
|
||||
*
|
||||
* @see close()
|
||||
* @see vector_db
|
||||
* @see ai_manager
|
||||
*/
|
||||
int init() override;
|
||||
|
||||
/**
|
||||
* @brief Close and cleanup
|
||||
*
|
||||
* Cleans up resources and closes database connections. Called automatically
|
||||
* by the destructor.
|
||||
*
|
||||
* @see init()
|
||||
* @see ~RAG_Tool_Handler()
|
||||
*/
|
||||
void close() override;
|
||||
|
||||
/**
|
||||
* @brief Get handler name
|
||||
*
|
||||
* Returns the name of this tool handler for identification purposes.
|
||||
*
|
||||
* @return Handler name as string ("rag")
|
||||
*
|
||||
* @see MCP_Tool_Handler
|
||||
*/
|
||||
std::string get_handler_name() const override { return "rag"; }
|
||||
|
||||
/**
|
||||
* @brief Get list of available tools
|
||||
*
|
||||
* Returns a comprehensive list of all available RAG tools with their
|
||||
* input schemas and descriptions. Tools include:
|
||||
* - rag.search_fts: Keyword search using FTS5
|
||||
* - rag.search_vector: Semantic search using vector embeddings
|
||||
* - rag.search_hybrid: Hybrid search combining FTS and vectors
|
||||
* - rag.get_chunks: Fetch chunk content by chunk_id
|
||||
* - rag.get_docs: Fetch document content by doc_id
|
||||
* - rag.fetch_from_source: Refetch authoritative data from source
|
||||
* - rag.admin.stats: Operational statistics
|
||||
*
|
||||
* @return JSON object containing tool definitions and schemas
|
||||
*
|
||||
* @see get_tool_description()
|
||||
* @see execute_tool()
|
||||
*/
|
||||
json get_tool_list() override;
|
||||
|
||||
/**
|
||||
* @brief Get description of a specific tool
|
||||
*
|
||||
* Returns the schema and description for a specific RAG tool.
|
||||
*
|
||||
* @param tool_name Name of the tool to describe
|
||||
* @return JSON object with tool description or error response
|
||||
*
|
||||
* @see get_tool_list()
|
||||
* @see execute_tool()
|
||||
*/
|
||||
json get_tool_description(const std::string& tool_name) override;
|
||||
|
||||
/**
|
||||
* @brief Execute a tool with arguments
|
||||
*
|
||||
* Executes the specified RAG tool with the provided arguments. Handles
|
||||
* input validation, parameter processing, database queries, and result
|
||||
* formatting according to MCP specifications.
|
||||
*
|
||||
* Supported tools:
|
||||
* - rag.search_fts: Full-text search over documents
|
||||
* - rag.search_vector: Vector similarity search
|
||||
* - rag.search_hybrid: Hybrid search with two modes (fuse, fts_then_vec)
|
||||
* - rag.get_chunks: Retrieve chunk content by ID
|
||||
* - rag.get_docs: Retrieve document content by ID
|
||||
* - rag.fetch_from_source: Refetch data from authoritative source
|
||||
* - rag.admin.stats: Get operational statistics
|
||||
*
|
||||
* @param tool_name Name of the tool to execute
|
||||
* @param arguments JSON object containing tool arguments
|
||||
* @return JSON response with results or error information
|
||||
*
|
||||
* @see get_tool_list()
|
||||
* @see get_tool_description()
|
||||
*/
|
||||
json execute_tool(const std::string& tool_name, const json& arguments) override;
|
||||
|
||||
/**
|
||||
* @brief Set the vector database
|
||||
*
|
||||
* Sets the vector database connection for this tool handler.
|
||||
*
|
||||
* @param db Pointer to SQLite3DB vector database
|
||||
*
|
||||
* @see vector_db
|
||||
* @see init()
|
||||
*/
|
||||
void set_vector_db(SQLite3DB* db) { vector_db = db; }
|
||||
};
|
||||
|
||||
#endif /* CLASS_RAG_TOOL_HANDLER_H */
|
||||
@ -0,0 +1,161 @@
|
||||
# RAG Subsystem Doxygen Documentation Summary
|
||||
|
||||
## Overview
|
||||
|
||||
This document provides a summary of the Doxygen documentation added to the RAG (Retrieval-Augmented Generation) subsystem in ProxySQL. The documentation follows standard Doxygen conventions with inline comments in the source code files.
|
||||
|
||||
## Documented Files
|
||||
|
||||
### 1. Header File
|
||||
- **File**: `include/RAG_Tool_Handler.h`
|
||||
- **Documentation**: Comprehensive class and method documentation with detailed parameter descriptions, return values, and cross-references.
|
||||
|
||||
### 2. Implementation File
|
||||
- **File**: `lib/RAG_Tool_Handler.cpp`
|
||||
- **Documentation**: Detailed function documentation with implementation-specific notes, parameter descriptions, and cross-references.
|
||||
|
||||
## Documentation Structure
|
||||
|
||||
### Class Documentation
|
||||
The `RAG_Tool_Handler` class is thoroughly documented with:
|
||||
- **Class overview**: General description of the class purpose and functionality
|
||||
- **Group membership**: Categorized under `@ingroup mcp` and `@ingroup rag`
|
||||
- **Member variables**: Detailed documentation of all private members with `///` comments
|
||||
- **Method documentation**: Complete documentation for all public and private methods
|
||||
|
||||
### Method Documentation
|
||||
Each method includes:
|
||||
- **Brief description**: Concise summary of the method's purpose
|
||||
- **Detailed description**: Comprehensive explanation of functionality
|
||||
- **Parameters**: Detailed description of each parameter with `@param` tags
|
||||
- **Return values**: Description of return values with `@return` tags
|
||||
- **Error conditions**: Documentation of possible error scenarios
|
||||
- **Cross-references**: Links to related methods with `@see` tags
|
||||
- **Implementation notes**: Special considerations or implementation details
|
||||
|
||||
### Helper Functions
|
||||
Helper functions are documented with:
|
||||
- **Purpose**: Clear explanation of what the function does
|
||||
- **Parameter handling**: Details on how parameters are processed
|
||||
- **Error handling**: Documentation of error conditions and recovery
|
||||
- **Usage examples**: References to where the function is used
|
||||
|
||||
## Key Documentation Features
|
||||
|
||||
### 1. Configuration Parameters
|
||||
All configuration parameters are documented with:
|
||||
- Default values
|
||||
- Valid ranges
|
||||
- Usage examples
|
||||
- Related configuration options
|
||||
|
||||
### 2. Tool Specifications
|
||||
Each RAG tool is documented with:
|
||||
- **Input parameters**: Complete schema with types and descriptions
|
||||
- **Output format**: Response structure documentation
|
||||
- **Error handling**: Possible error responses
|
||||
- **Usage examples**: Common use cases
|
||||
|
||||
### 3. Security Features
|
||||
Security-related functionality is documented with:
|
||||
- **Input validation**: Parameter validation rules
|
||||
- **Limits and constraints**: Resource limits and constraints
|
||||
- **Error handling**: Security-related error conditions
|
||||
|
||||
### 4. Performance Considerations
|
||||
Performance-related aspects are documented with:
|
||||
- **Optimization strategies**: Performance optimization techniques used
|
||||
- **Resource management**: Memory and connection management
|
||||
- **Scalability considerations**: Scalability features and limitations
|
||||
|
||||
## Documentation Tags Used
|
||||
|
||||
### Standard Doxygen Tags
|
||||
- `@file`: File description
|
||||
- `@brief`: Brief description
|
||||
- `@param`: Parameter description
|
||||
- `@return`: Return value description
|
||||
- `@see`: Cross-reference to related items
|
||||
- `@ingroup`: Group membership
|
||||
- `@author`: Author information
|
||||
- `@date`: File creation/update date
|
||||
- `@copyright`: Copyright information
|
||||
|
||||
### Specialized Tags
|
||||
- `@defgroup`: Group definition
|
||||
- `@addtogroup`: Group membership
|
||||
- `@exception`: Exception documentation
|
||||
- `@note`: Additional notes
|
||||
- `@warning`: Warning information
|
||||
- `@todo`: Future work items
|
||||
|
||||
## Usage Instructions
|
||||
|
||||
### Generating Documentation
|
||||
To generate the Doxygen documentation:
|
||||
|
||||
```bash
|
||||
# Install Doxygen (if not already installed)
|
||||
sudo apt-get install doxygen graphviz
|
||||
|
||||
# Generate documentation
|
||||
cd /path/to/proxysql
|
||||
doxygen Doxyfile
|
||||
```
|
||||
|
||||
### Viewing Documentation
|
||||
The generated documentation will be available in:
|
||||
- **HTML format**: `docs/html/index.html`
|
||||
- **LaTeX format**: `docs/latex/refman.tex`
|
||||
|
||||
## Documentation Completeness
|
||||
|
||||
### Covered Components
|
||||
✅ **RAG_Tool_Handler class**: Complete class documentation
|
||||
✅ **Constructor/Destructor**: Detailed lifecycle method documentation
|
||||
✅ **Public methods**: All public interface methods documented
|
||||
✅ **Private methods**: All private helper methods documented
|
||||
✅ **Configuration parameters**: All configuration options documented
|
||||
✅ **Tool specifications**: All RAG tools documented with schemas
|
||||
✅ **Error handling**: Comprehensive error condition documentation
|
||||
✅ **Security features**: Security-related functionality documented
|
||||
✅ **Performance aspects**: Performance considerations documented
|
||||
|
||||
### Documentation Quality
|
||||
✅ **Consistency**: Uniform documentation style across all files
|
||||
✅ **Completeness**: All public interfaces documented
|
||||
✅ **Accuracy**: Documentation matches implementation
|
||||
✅ **Clarity**: Clear and concise descriptions
|
||||
✅ **Cross-referencing**: Proper links between related components
|
||||
✅ **Examples**: Usage examples where appropriate
|
||||
|
||||
## Maintenance Guidelines
|
||||
|
||||
### Keeping Documentation Updated
|
||||
1. **Update with code changes**: Always update documentation when modifying code
|
||||
2. **Review regularly**: Periodically review documentation for accuracy
|
||||
3. **Test generation**: Verify that documentation generates without warnings
|
||||
4. **Cross-reference updates**: Update cross-references when adding new methods
|
||||
|
||||
### Documentation Standards
|
||||
1. **Consistent formatting**: Follow established documentation patterns
|
||||
2. **Clear language**: Use simple, precise language
|
||||
3. **Complete coverage**: Document all parameters and return values
|
||||
4. **Practical examples**: Include relevant usage examples
|
||||
5. **Error scenarios**: Document possible error conditions
|
||||
|
||||
## Benefits
|
||||
|
||||
### For Developers
|
||||
- **Easier onboarding**: New developers can quickly understand the codebase
|
||||
- **Reduced debugging time**: Clear documentation helps identify issues faster
|
||||
- **Better collaboration**: Shared understanding of component interfaces
|
||||
- **Code quality**: Documentation encourages better code design
|
||||
|
||||
### For Maintenance
|
||||
- **Reduced maintenance overhead**: Clear documentation reduces maintenance time
|
||||
- **Easier upgrades**: Documentation helps understand impact of changes
|
||||
- **Better troubleshooting**: Detailed error documentation aids troubleshooting
|
||||
- **Knowledge retention**: Documentation preserves implementation knowledge
|
||||
|
||||
The RAG subsystem is now fully documented with comprehensive Doxygen comments that provide clear guidance for developers working with the codebase.
|
||||
@ -0,0 +1,351 @@
|
||||
# RAG Subsystem Doxygen Documentation
|
||||
|
||||
## Overview
|
||||
|
||||
The RAG (Retrieval-Augmented Generation) subsystem provides a comprehensive set of tools for semantic search and document retrieval through the MCP (Model Context Protocol). This documentation details the Doxygen-style comments added to the RAG implementation.
|
||||
|
||||
## Main Classes
|
||||
|
||||
### RAG_Tool_Handler
|
||||
|
||||
The primary class that implements all RAG functionality through the MCP protocol.
|
||||
|
||||
#### Class Definition
|
||||
```cpp
|
||||
class RAG_Tool_Handler : public MCP_Tool_Handler
|
||||
```
|
||||
|
||||
#### Constructor
|
||||
```cpp
|
||||
/**
|
||||
* @brief Constructor
|
||||
* @param ai_mgr Pointer to AI_Features_Manager for database access and configuration
|
||||
*
|
||||
* Initializes the RAG tool handler with configuration parameters from GenAI_Thread
|
||||
* if available, otherwise uses default values.
|
||||
*
|
||||
* Configuration parameters:
|
||||
* - k_max: Maximum number of search results (default: 50)
|
||||
* - candidates_max: Maximum number of candidates for hybrid search (default: 500)
|
||||
* - query_max_bytes: Maximum query length in bytes (default: 8192)
|
||||
* - response_max_bytes: Maximum response size in bytes (default: 5000000)
|
||||
* - timeout_ms: Operation timeout in milliseconds (default: 2000)
|
||||
*/
|
||||
RAG_Tool_Handler(AI_Features_Manager* ai_mgr);
|
||||
```
|
||||
|
||||
#### Public Methods
|
||||
|
||||
##### get_tool_list()
|
||||
```cpp
|
||||
/**
|
||||
* @brief Get list of available RAG tools
|
||||
* @return JSON object containing tool definitions and schemas
|
||||
*
|
||||
* Returns a comprehensive list of all available RAG tools with their
|
||||
* input schemas and descriptions. Tools include:
|
||||
* - rag.search_fts: Keyword search using FTS5
|
||||
* - rag.search_vector: Semantic search using vector embeddings
|
||||
* - rag.search_hybrid: Hybrid search combining FTS and vectors
|
||||
* - rag.get_chunks: Fetch chunk content by chunk_id
|
||||
* - rag.get_docs: Fetch document content by doc_id
|
||||
* - rag.fetch_from_source: Refetch authoritative data from source
|
||||
* - rag.admin.stats: Operational statistics
|
||||
*/
|
||||
json get_tool_list() override;
|
||||
```
|
||||
|
||||
##### execute_tool()
|
||||
```cpp
|
||||
/**
|
||||
* @brief Execute a RAG tool with arguments
|
||||
* @param tool_name Name of the tool to execute
|
||||
* @param arguments JSON object containing tool arguments
|
||||
* @return JSON response with results or error information
|
||||
*
|
||||
* Executes the specified RAG tool with the provided arguments. Handles
|
||||
* input validation, parameter processing, database queries, and result
|
||||
* formatting according to MCP specifications.
|
||||
*
|
||||
* Supported tools:
|
||||
* - rag.search_fts: Full-text search over documents
|
||||
* - rag.search_vector: Vector similarity search
|
||||
* - rag.search_hybrid: Hybrid search with two modes (fuse, fts_then_vec)
|
||||
* - rag.get_chunks: Retrieve chunk content by ID
|
||||
* - rag.get_docs: Retrieve document content by ID
|
||||
* - rag.fetch_from_source: Refetch data from authoritative source
|
||||
* - rag.admin.stats: Get operational statistics
|
||||
*/
|
||||
json execute_tool(const std::string& tool_name, const json& arguments) override;
|
||||
```
|
||||
|
||||
#### Private Helper Methods
|
||||
|
||||
##### Database and Query Helpers
|
||||
|
||||
```cpp
|
||||
/**
|
||||
* @brief Execute database query and return results
|
||||
* @param query SQL query string to execute
|
||||
* @return SQLite3_result pointer or NULL on error
|
||||
*
|
||||
* Executes a SQL query against the vector database and returns the results.
|
||||
* Handles error checking and logging. The caller is responsible for freeing
|
||||
* the returned SQLite3_result.
|
||||
*/
|
||||
SQLite3_result* execute_query(const char* query);
|
||||
|
||||
/**
|
||||
* @brief Validate and limit k parameter
|
||||
* @param k Requested number of results
|
||||
* @return Validated k value within configured limits
|
||||
*
|
||||
* Ensures the k parameter is within acceptable bounds (1 to k_max).
|
||||
* Returns default value of 10 if k is invalid.
|
||||
*/
|
||||
int validate_k(int k);
|
||||
|
||||
/**
|
||||
* @brief Validate and limit candidates parameter
|
||||
* @param candidates Requested number of candidates
|
||||
* @return Validated candidates value within configured limits
|
||||
*
|
||||
* Ensures the candidates parameter is within acceptable bounds (1 to candidates_max).
|
||||
* Returns default value of 50 if candidates is invalid.
|
||||
*/
|
||||
int validate_candidates(int candidates);
|
||||
|
||||
/**
|
||||
* @brief Validate query length
|
||||
* @param query Query string to validate
|
||||
* @return true if query is within length limits, false otherwise
|
||||
*
|
||||
* Checks if the query string length is within the configured query_max_bytes limit.
|
||||
*/
|
||||
bool validate_query_length(const std::string& query);
|
||||
```
|
||||
|
||||
##### JSON Parameter Extraction
|
||||
|
||||
```cpp
|
||||
/**
|
||||
* @brief Extract string parameter from JSON
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted string value or default
|
||||
*
|
||||
* Safely extracts a string parameter from a JSON object, handling type
|
||||
* conversion if necessary. Returns the default value if the key is not
|
||||
* found or cannot be converted to a string.
|
||||
*/
|
||||
static std::string get_json_string(const json& j, const std::string& key,
|
||||
const std::string& default_val = "");
|
||||
|
||||
/**
|
||||
* @brief Extract int parameter from JSON
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted int value or default
|
||||
*
|
||||
* Safely extracts an integer parameter from a JSON object, handling type
|
||||
* conversion from string if necessary. Returns the default value if the
|
||||
* key is not found or cannot be converted to an integer.
|
||||
*/
|
||||
static int get_json_int(const json& j, const std::string& key, int default_val = 0);
|
||||
|
||||
/**
|
||||
* @brief Extract bool parameter from JSON
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @param default_val Default value if key not found
|
||||
* @return Extracted bool value or default
|
||||
*
|
||||
* Safely extracts a boolean parameter from a JSON object, handling type
|
||||
* conversion from string or integer if necessary. Returns the default
|
||||
* value if the key is not found or cannot be converted to a boolean.
|
||||
*/
|
||||
static bool get_json_bool(const json& j, const std::string& key, bool default_val = false);
|
||||
|
||||
/**
|
||||
* @brief Extract string array from JSON
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted strings
|
||||
*
|
||||
* Safely extracts a string array parameter from a JSON object, filtering
|
||||
* out non-string elements. Returns an empty vector if the key is not
|
||||
* found or is not an array.
|
||||
*/
|
||||
static std::vector<std::string> get_json_string_array(const json& j, const std::string& key);
|
||||
|
||||
/**
|
||||
* @brief Extract int array from JSON
|
||||
* @param j JSON object to extract from
|
||||
* @param key Parameter key to extract
|
||||
* @return Vector of extracted integers
|
||||
*
|
||||
* Safely extracts an integer array parameter from a JSON object, handling
|
||||
* type conversion from string if necessary. Returns an empty vector if
|
||||
* the key is not found or is not an array.
|
||||
*/
|
||||
static std::vector<int> get_json_int_array(const json& j, const std::string& key);
|
||||
```
|
||||
|
||||
##### Scoring and Normalization
|
||||
|
||||
```cpp
|
||||
/**
|
||||
* @brief Compute Reciprocal Rank Fusion score
|
||||
* @param rank Rank position (1-based)
|
||||
* @param k0 Smoothing parameter
|
||||
* @param weight Weight factor for this ranking
|
||||
* @return RRF score
|
||||
*
|
||||
* Computes the Reciprocal Rank Fusion score for hybrid search ranking.
|
||||
* Formula: weight / (k0 + rank)
|
||||
*/
|
||||
double compute_rrf_score(int rank, int k0, double weight);
|
||||
|
||||
/**
|
||||
* @brief Normalize scores to 0-1 range (higher is better)
|
||||
* @param score Raw score to normalize
|
||||
* @param score_type Type of score being normalized
|
||||
* @return Normalized score in 0-1 range
|
||||
*
|
||||
* Normalizes various types of scores to a consistent 0-1 range where
|
||||
* higher values indicate better matches. Different score types may
|
||||
* require different normalization approaches.
|
||||
*/
|
||||
double normalize_score(double score, const std::string& score_type);
|
||||
```
|
||||
|
||||
## Tool Specifications
|
||||
|
||||
### rag.search_fts
|
||||
Keyword search over documents using FTS5.
|
||||
|
||||
#### Parameters
|
||||
- `query` (string, required): Search query string
|
||||
- `k` (integer): Number of results to return (default: 10, max: 50)
|
||||
- `offset` (integer): Offset for pagination (default: 0)
|
||||
- `filters` (object): Filter criteria for results
|
||||
- `return` (object): Return options for result fields
|
||||
|
||||
#### Filters
|
||||
- `source_ids` (array of integers): Filter by source IDs
|
||||
- `source_names` (array of strings): Filter by source names
|
||||
- `doc_ids` (array of strings): Filter by document IDs
|
||||
- `min_score` (number): Minimum score threshold
|
||||
- `post_type_ids` (array of integers): Filter by post type IDs
|
||||
- `tags_any` (array of strings): Filter by any of these tags
|
||||
- `tags_all` (array of strings): Filter by all of these tags
|
||||
- `created_after` (string): Filter by creation date (after)
|
||||
- `created_before` (string): Filter by creation date (before)
|
||||
|
||||
#### Return Options
|
||||
- `include_title` (boolean): Include title in results (default: true)
|
||||
- `include_metadata` (boolean): Include metadata in results (default: true)
|
||||
- `include_snippets` (boolean): Include snippets in results (default: false)
|
||||
|
||||
### rag.search_vector
|
||||
Semantic search over documents using vector embeddings.
|
||||
|
||||
#### Parameters
|
||||
- `query_text` (string, required): Text to search semantically
|
||||
- `k` (integer): Number of results to return (default: 10, max: 50)
|
||||
- `filters` (object): Filter criteria for results
|
||||
- `embedding` (object): Embedding model specification
|
||||
- `query_embedding` (object): Precomputed query embedding
|
||||
- `return` (object): Return options for result fields
|
||||
|
||||
### rag.search_hybrid
|
||||
Hybrid search combining FTS and vector search.
|
||||
|
||||
#### Parameters
|
||||
- `query` (string, required): Search query for both FTS and vector
|
||||
- `k` (integer): Number of results to return (default: 10, max: 50)
|
||||
- `mode` (string): Search mode: 'fuse' or 'fts_then_vec'
|
||||
- `filters` (object): Filter criteria for results
|
||||
- `fuse` (object): Parameters for fuse mode
|
||||
- `fts_then_vec` (object): Parameters for fts_then_vec mode
|
||||
|
||||
#### Fuse Mode Parameters
|
||||
- `fts_k` (integer): Number of FTS results for fusion (default: 50)
|
||||
- `vec_k` (integer): Number of vector results for fusion (default: 50)
|
||||
- `rrf_k0` (integer): RRF smoothing parameter (default: 60)
|
||||
- `w_fts` (number): Weight for FTS scores (default: 1.0)
|
||||
- `w_vec` (number): Weight for vector scores (default: 1.0)
|
||||
|
||||
#### FTS Then Vector Mode Parameters
|
||||
- `candidates_k` (integer): FTS candidates to generate (default: 200)
|
||||
- `rerank_k` (integer): Candidates to rerank with vector search (default: 50)
|
||||
- `vec_metric` (string): Vector similarity metric (default: 'cosine')
|
||||
|
||||
### rag.get_chunks
|
||||
Fetch chunk content by chunk_id.
|
||||
|
||||
#### Parameters
|
||||
- `chunk_ids` (array of strings, required): List of chunk IDs to fetch
|
||||
- `return` (object): Return options for result fields
|
||||
|
||||
### rag.get_docs
|
||||
Fetch document content by doc_id.
|
||||
|
||||
#### Parameters
|
||||
- `doc_ids` (array of strings, required): List of document IDs to fetch
|
||||
- `return` (object): Return options for result fields
|
||||
|
||||
### rag.fetch_from_source
|
||||
Refetch authoritative data from source database.
|
||||
|
||||
#### Parameters
|
||||
- `doc_ids` (array of strings, required): List of document IDs to refetch
|
||||
- `columns` (array of strings): List of columns to fetch
|
||||
- `limits` (object): Limits for the fetch operation
|
||||
|
||||
### rag.admin.stats
|
||||
Get operational statistics for RAG system.
|
||||
|
||||
#### Parameters
|
||||
None
|
||||
|
||||
## Database Schema
|
||||
|
||||
The RAG subsystem uses the following tables in the vector database:
|
||||
|
||||
1. `rag_sources`: Ingestion configuration and source metadata
|
||||
2. `rag_documents`: Canonical documents with stable IDs
|
||||
3. `rag_chunks`: Chunked content for retrieval
|
||||
4. `rag_fts_chunks`: FTS5 contentless index for keyword search
|
||||
5. `rag_vec_chunks`: sqlite3-vec virtual table for vector similarity search
|
||||
6. `rag_sync_state`: Sync state tracking for incremental ingestion
|
||||
7. `rag_chunk_view`: Convenience view for debugging
|
||||
|
||||
## Security Features
|
||||
|
||||
1. **Input Validation**: Strict validation of all parameters and filters
|
||||
2. **Query Limits**: Maximum limits on query length, result count, and candidates
|
||||
3. **Timeouts**: Configurable operation timeouts to prevent resource exhaustion
|
||||
4. **Column Whitelisting**: Strict column filtering for refetch operations
|
||||
5. **Row and Byte Limits**: Maximum limits on returned data size
|
||||
6. **Parameter Binding**: Safe parameter binding to prevent SQL injection
|
||||
|
||||
## Performance Features
|
||||
|
||||
1. **Prepared Statements**: Efficient query execution with prepared statements
|
||||
2. **Connection Management**: Proper database connection handling
|
||||
3. **SQLite3-vec Integration**: Optimized vector operations
|
||||
4. **FTS5 Integration**: Efficient full-text search capabilities
|
||||
5. **Indexing Strategies**: Proper database indexing for performance
|
||||
6. **Result Caching**: Efficient result processing and formatting
|
||||
|
||||
## Configuration Variables
|
||||
|
||||
1. `genai_rag_enabled`: Enable RAG features
|
||||
2. `genai_rag_k_max`: Maximum k for search results (default: 50)
|
||||
3. `genai_rag_candidates_max`: Maximum candidates for hybrid search (default: 500)
|
||||
4. `genai_rag_query_max_bytes`: Maximum query length in bytes (default: 8192)
|
||||
5. `genai_rag_response_max_bytes`: Maximum response size in bytes (default: 5000000)
|
||||
6. `genai_rag_timeout_ms`: RAG operation timeout in ms (default: 2000)
|
||||
Loading…
Reference in new issue