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class OneCo_hybrid_RAG

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

class oneco_hybrid_rag

class ReferenceManager

Manages document references for inline citation and bibliography generation in a RAG (Retrieval-Augmented Generation) system.

File: /tf/active/vicechatdev/fixed_project_victoria_generator.py

citation bibliography reference-management document-tracking RAG

class OneCo_hybrid_RAG_v1

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py

class oneco_hybrid_rag

class MeetingMinutesGenerator_v1

A class that generates professional meeting minutes from meeting transcripts using either OpenAI's GPT-4o or Google's Gemini AI models.

File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py

meeting-minutes transcript-processing llm gpt-4o gemini

function main_v16

Command-line interface function that orchestrates the generation of meeting minutes from a transcript file using either GPT-4o or Gemini LLM models.

File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py

cli command-line meeting-minutes transcript-processing llm

class OneCo_hybrid_RAG_v2

A class named OneCo_hybrid_RAG

File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

class oneco_hybrid_rag

function test_web_ui

Integration test function that validates a Flask web UI for meeting minutes generation by testing file upload, generation, and regeneration endpoints with sample transcript and PowerPoint files.

File: /tf/active/vicechatdev/leexi/test_ui.py

testing integration-test web-ui flask api-testing

function generate_minutes

Flask route handler that processes uploaded meeting transcripts and optional supporting documents to generate structured meeting minutes using AI, with configurable output styles and validation.

File: /tf/active/vicechatdev/leexi/app.py

flask web-api file-upload meeting-minutes ai-generation

function regenerate_minutes

Flask route handler that regenerates meeting minutes from a previous session using modified instructions, model selection, and configuration parameters.

File: /tf/active/vicechatdev/leexi/app.py

flask meeting-minutes regeneration ai-generation openai

function handle_potential_truncation

Detects and handles truncated meeting minutes by comparing agenda items to discussion sections, then attempts regeneration with enhanced instructions to ensure completeness.

File: /tf/active/vicechatdev/leexi/app.py

meeting-minutes truncation-handling text-processing regeneration quality-assurance

class EnhancedMeetingMinutesGenerator

A class named EnhancedMeetingMinutesGenerator

File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

class enhancedmeetingminutesgenerator

function main_v2

Command-line interface function that orchestrates the generation of enhanced meeting minutes from transcript files and PowerPoint presentations using various LLM models (GPT-4o, Azure GPT-4o, or Gemini).

File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

cli command-line meeting-minutes llm gpt-4

function conversation_example

Demonstrates a multi-turn conversational RAG system with chat history management, showing how follow-up questions are automatically optimized based on conversation context.

File: /tf/active/vicechatdev/docchat/example_usage.py

RAG conversational-ai chat-history multi-turn-conversation context-management

function update_session_settings

Updates the settings (model, mode, options) for an existing chat session and persists the changes to disk.

File: /tf/active/vicechatdev/docchat/app.py

session-management settings persistence thread-safe chat

function process_chat_background

Processes chat requests asynchronously in a background thread, managing RAG engine interactions, progress updates, and session state for various query modes including basic, extensive, full_reading, and deep_reflection.

File: /tf/active/vicechatdev/docchat/app.py

background-processing async rag chat document-retrieval

function api_chat

Flask API endpoint that handles chat requests asynchronously, processing user queries through a RAG (Retrieval-Augmented Generation) engine with support for multiple modes, memory, web search, and custom configurations.

File: /tf/active/vicechatdev/docchat/app.py

flask api chat async rag

function export_to_word

Flask route handler that exports a chat conversation to a formatted Microsoft Word (.docx) document with styled headings, timestamps, and references.

File: /tf/active/vicechatdev/docchat/app.py

export word-document docx chat-history conversation-export

class DocChatRAG

Main RAG engine with three operating modes: 1. Basic RAG (similarity search) 2. Extensive (full document retrieval with preprocessing) 3. Full Reading (process all documents)

File: /tf/active/vicechatdev/docchat/rag_engine.py

class docchatrag

function chat

Flask route handler that processes chat requests with RAG (Retrieval-Augmented Generation) capabilities, managing conversation sessions, chat history, and document-based question answering.

File: /tf/active/vicechatdev/docchat/blueprint.py

chat rag retrieval-augmented-generation conversational-ai document-qa

class DocumentIndexer

A class for indexing documents into ChromaDB with support for multiple file formats (PDF, Word, PowerPoint, Excel, text files), smart incremental indexing, and document chunk management.

File: /tf/active/vicechatdev/docchat/document_indexer.py

document-indexing vector-database chromadb embeddings pdf-processing

class OpenAIResponsesLLM

Adapter class for OpenAI's Responses API, specifically designed for GPT-5 family models with automatic fallback mechanisms to stable models when responses fail.

File: /tf/active/vicechatdev/docchat/llm_factory.py

openai llm gpt-5 responses-api adapter

class OpenAIChatLLM

Adapter class for interacting with OpenAI's Chat Completions API, supporting both GPT-4 and GPT-5 model families with automatic parameter adjustment based on model type.

File: /tf/active/vicechatdev/docchat/llm_factory.py

openai llm chat-completion gpt-4 gpt-5

class AzureOpenAIChatLLM

Adapter class for interacting with Azure OpenAI's Chat Completions API, providing a simplified interface for generating chat responses using Azure-hosted OpenAI models.

File: /tf/active/vicechatdev/docchat/llm_factory.py

azure openai chat llm api-adapter

function get_llm_instance

Factory function that creates and returns an appropriate LLM (Large Language Model) instance based on the specified model name, automatically detecting the provider (OpenAI, Azure OpenAI, or Anthropic) and configuring it with the given parameters.

File: /tf/active/vicechatdev/docchat/llm_factory.py

llm factory-pattern openai azure anthropic

function raw_cleanup_database

Performs raw database cleanup on a SQLite database to identify and fix corrupted chat_session_id values in the text_sections table by converting invalid string representations ('{}', '[]', 'null', '') to NULL.

File: /tf/active/vicechatdev/vice_ai/raw_database_cleanup.py

database cleanup maintenance sqlite data-integrity

function print_help

Displays help information for Vice AI Development Tools, listing available commands and usage examples.

File: /tf/active/vicechatdev/vice_ai/dev_tools.py

help documentation cli command-line user-interface

function check_and_fix_corruption

Scans a SQLite database for corrupted chat_session_id values in the text_sections table and automatically fixes them by setting invalid entries to NULL.

File: /tf/active/vicechatdev/vice_ai/direct_corruption_checker.py

database sqlite data-integrity corruption-detection data-cleaning

function debug_section_retrieval

A debugging utility function that tests database section retrieval by querying a specific text section and printing detailed diagnostic information about the section and its chat session association.

File: /tf/active/vicechatdev/vice_ai/debug_section_retrieval.py

debugging database testing diagnostics section-retrieval

class ChatSession

A class that manages a chat session associated with a specific document section, tracking messages, context documents, references, and timestamps.

File: /tf/active/vicechatdev/vice_ai/complex_app.py

chat session-management conversation document-chat message-tracking

function api_send_chat_message

Flask API endpoint that handles sending a message in a chat session, processes it through a hybrid RAG engine with configurable search and memory settings, and returns an AI-generated response with references.

File: /tf/active/vicechatdev/vice_ai/complex_app.py

flask api chat rag hybrid-rag

function process_chat_request_background

Process chat request in background thread

File: /tf/active/vicechatdev/vice_ai/app.py

function process_chat_request_background

function api_chat_v1

Handle chat API requests with support for long-running tasks

File: /tf/active/vicechatdev/vice_ai/app.py

function api_chat

class SmartStatService

Service for running SmartStat analysis sessions in Vice AI

File: /tf/active/vicechatdev/vice_ai/smartstat_service.py

class smartstatservice

class LLMClient_v1

Multi-LLM client that provides a unified interface for interacting with OpenAI GPT-4o, Azure OpenAI, Google Gemini, and Anthropic Claude models.