LangChain RAG + AI Agent Chatbot (Production-Grade LLM System)

A production-grade AI application that combines Retrieval-Augmented Generation (RAG), LangChain agents, and vector databases to deliver intelligent document-based question answering.

This system allows users to upload and query multiple documents using advanced LLM capabilities powered by OpenAI GPT models and Ollama. It integrates FAISS and Chroma for efficient semantic search and retrieval.

The backend is built using FastAPI and LangServe, enabling scalable API-based deployment. The architecture supports memory, multi-step reasoning, and tool-using AI agents for enhanced decision-making.

Key Features:

• RAG-based intelligent document Q&A system

• LangChain Agents with memory and tool usage

• FAISS & Chroma vector database integration

• Multi-source document ingestion pipeline

• FastAPI + LangServe production deployment

• Scalable, API-first architecture

Tech Stack:

Python, LangChain, OpenAI GPT-4o, Ollama, FastAPI, FAISS, ChromaDB, Docker