Chatbot with RAG – PDF Q&A

Built a chatbot that answers questions from uploaded PDF documents with conversation memory.

Implemented data ingestion and embedding generation using sentence-transformers.

Used Chroma DB for vector storage and retrieval.

Implemented RAG (Retrieval-Augmented Generation) with the LaMini-Flan-T5-783M model.

Deployed a Streamlit app with an admin interface for document management.

Gained skills in RAG workflow, embeddings, vector search, and NLP deployment.