RAG based Document Assistant for Search
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Updated
Feb 19, 2026 - Python
RAG based Document Assistant for Search
🤖 Agentic RAG - An intelligent document assistant with semantic chunking, hybrid search (vector + BM25), multi-format support (PDF, Word, CSV, Excel), and multi-channel bots (Telegram, WhatsApp). Built with FastAPI, React, PostgreSQL/pgvector, and LangChain.
An intelligent document assistant powered by DeepSeek LLM that enables natural conversations with documents. Features semantic search, source citations, and conversation history. Built with FastAPI, React, and LangChain for robust document processing and chat capabilities.
This repository contains materials for studying and implementing Agentic AI from ReadyTensor.
Queries documentation using RAG and multiple LLMs via CLI, web, or TUI interfaces.
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