
I'll guide you step by step to build a working RAG chatbot using LangChain, FAISS, and Streamlit — the same stack I used to build Cortex AI (live demo available).
What we'll cover:
→ Setting up LangChain LCEL pipeline
→ Chunking and embedding your documents
→ FAISS vector store setup
→ Building the retrieval chain
→ Deploying on Streamlit Cloud for free
What you'll get:
→ Working RAG chatbot by end of session
→ My exact code structure and repo template
→ Guidance on next steps (FastAPI, Docker, MLflow)
Perfect for: Students, developers, or professionals who want to add a real AI project to their portfolio fast.
Live demo of what we'll build: cortex-ai-hbgbdge9ldkmkfpnmwforn.streamlit.app