Browse Components

function get_stats

Flask API endpoint that retrieves and returns statistics about a document collection from a RAG (Retrieval-Augmented Generation) system.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 275-283

flask api endpoint statistics rag

function get_task_status

Flask API endpoint that retrieves the current status of a background task by its task ID from an in-memory active_tasks dictionary.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 265-270

flask api rest-endpoint task-status background-task

function get_task_status_v1

Thread-safe function that retrieves the current status of a task from a shared dictionary using a task identifier.

File: /tf/active/vicechatdev/docchat/app.py | Lines: 202-205

threading concurrency task-management status-tracking thread-safe

function index_all_documents

Flask route handler that initiates background indexing of all documents in the system, creating a task ID for tracking progress and returning immediately while indexing continues asynchronously.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 221-260

flask api-endpoint background-task document-indexing async-processing

function upload_document

Flask route handler that processes file uploads, saves them securely to disk, and indexes the document content for retrieval-augmented generation (RAG) search.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 187-216

file-upload document-processing flask-route authentication RAG

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 | Lines: 104-182

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

function user_guide_v1

Flask route handler that renders the user guide page for the document chat application.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 97-99

flask route-handler view-function authentication user-guide

function index_v1

Flask route handler that renders the main DocChat interface with document collection statistics.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 86-92

flask route-handler web-interface authentication rag

function index_v2

Flask route handler that renders the main landing page containing a form for the meeting minutes application.

File: /tf/active/vicechatdev/leexi/app.py | Lines: 131-133

flask web route-handler view-function template-rendering

function save_session_to_disk_v1

Persists a chat session to disk by serializing session data to a JSON file, converting datetime objects to ISO format strings for storage.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 52-65

persistence session-management file-io serialization json

function get_current_username

Retrieves the current user's username from Flask-Login's current_user object or falls back to the Flask session, returning 'anonymous' if neither is available.

File: /tf/active/vicechatdev/docchat/blueprint.py | Lines: 42-49

authentication flask user-management session flask-login

function get_adjusted_top_k

Calculates an adjusted top_k value for multi-language search operations by multiplying the base value by the number of languages to ensure sufficient results per language.

File: /tf/active/vicechatdev/docchat/config.py | Lines: 171-189

multi-language search top-k result-scaling internationalization

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 | Lines: 330-2989

class docchatrag

class QueryBasedExtractor

A class that extracts relevant information from documents using a small LLM (Language Model), designed for Extensive and Full Reading modes in RAG systems.

File: /tf/active/vicechatdev/docchat/rag_engine.py | Lines: 92-327

information-extraction document-processing llm rag query-based

class QueryBasedExtractor_v1

A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py | Lines: 76-287

information-extraction text-processing llm openai query-based

function matches_source_filter

Checks if a document path matches any of the provided source filters using exact match, folder prefix match, path component sequence match, or filename match.

File: /tf/active/vicechatdev/docchat/rag_engine.py | Lines: 31-89

path-matching file-filtering document-filtering path-normalization string-matching

A comprehensive configuration verification function that checks and displays the status of all DocChat system settings, including API keys, models, ChromaDB connection, directories, and LLM initialization.

File: /tf/active/vicechatdev/docchat/verify_setup.py | Lines: 13-141

configuration verification diagnostics setup validation

function export_to_pdf

Flask route handler that exports a chat conversation to a PDF file with formatted messages, roles, and references using the reportlab library.

File: /tf/active/vicechatdev/docchat/app.py | Lines: 1839-1962

pdf-export document-generation chat-export reportlab flask-route

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 | Lines: 1758-1834

export word-document docx chat-history conversation-export

function list_custom_instructions

Flask API endpoint that retrieves and returns a list of all custom instruction markdown files stored in the 'instructions' directory.

File: /tf/active/vicechatdev/docchat/app.py | Lines: 1740-1753

flask api rest-api file-listing directory-scanning

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