📘 LangGraph Multi-Utility PDF Chatbot

🔑 Key Concepts Used

• LangGraph (stateful agent workflow, tool routing, checkpointing)
• RAG with FAISS (PDF embeddings + vector search)
• OpenAI Embeddings + Recursive Text Splitter
• Tool Calling (RAG, Web Search, Stock Price API, Calculator)
• Multi-Thread Memory using SQLite checkpointing
• Streamlit Chat UI with real-time response streaming (as a typewriter effect)
• Observability with LangSmith providing an effective tool for monitoring

✨ Overview

A Streamlit-based AI assistant that allows users to upload PDFs, ask questions using Retrieval-Augmented Generation (RAG), and perform actions using built-in tools. Each chat thread maintains its own memory, retriever, and history using LangGraph’s stateful architecture.