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š Build Your Own AI Chatbot with Memory in Under 20 Minutes! github- https://github.com/siddharth-Kharche/RAG-Chatbot-with-Memory- Learn how to create a production-ready RAG (Retrieval Augmented Generation) chatbot that remembers conversations and answers questions from YOUR documents - completely FREE using Groq's lightning-fast LLM and open-source tools. ā” What You'll Learn: - RAG architecture from scratch using LangChain - Conversation memory implementation with Chainlit - FAISS vector database setup for PDF documents - Groq LLM integration (70B parameter model - FREE!) - Hugging Face embeddings for semantic search - Real-time chat UI with source citations š ļø Tech Stack: ā Groq API (Llama 3.3 70B - fastest inference) ā LangChain for RAG orchestration ā Chainlit for beautiful chat interface ā FAISS vector database ā HuggingFace embeddings (all-MiniLM-L6-v2) ā Python 3.10+ š» GitHub Repository: [Your Link] š Blog Post: [Your Link] š Free Groq API Key: https://console.groq.com š Perfect for: AI Engineers, Python Developers, ML Enthusiasts, Data Scientists #RAG #AI #LangChain #Groq #Chatbot #MachineLearning #Python #LLM #OpenSource #GenerativeAI š” Related Videos: - Advanced RAG Techniques [link] - Vector Database Comparison [link] - LangChain Tutorials [link] š§ Questions? Drop them in comments! š Like if this helped you build something cool! š Subscribe for weekly AI tutorials! RAG chatbot tutorial LangChain tutorial 2025 Groq LLM AI chatbot with memory build chatbot python retrieval augmented generation FAISS vector database Chainlit tutorial free AI tools LangChain RAG conversational AI document chatbot PDF chatbot python HuggingFace embeddings Groq API tutorial Llama 3 chatbot open source AI AI assistant tutorial vector database tutorial semantic search python LangChain memory chatbot with sources AI project tutorial machine learning project generative AI tutorial RAG 2025 LLM tutorial AI for beginners python AI project chatbot development