What You'll Learn:

✅ What is RAG (Retrieval Augmented Generation)?

✅ How LangChain simplifies AI workflows

✅ Understanding Chunks, Embedding Models & Vector Search

✅ Step-by-step guide to building a chatbot with RAG

✅ Simple architecture

✅ Real-time chatbot demo – from setup to response!

Traditional AI

Generative AI

RAG : Retrieval Augmented Generation

Dangerous. Company’s confidential data will be lost in AI data queries.
So you need to use RAG to keep your private data protected

Cosine similarity

you are an RAG developer.

Build a Rag chatbot using langchain and streamlit.

User will upload the pdf bulk resume pdf,

and he will ask for some particular candidate.

Bot need to fetch properly

Streamlit

Agentic Rag