Chat with Your PDF

Upload a PDF, ask questions about it, get accurate answers. Build your first RAG pipeline end-to-end — chunking, embedding, vector storage, and retrieval.

You will learn to:

• Chunk documents into overlapping segments for effective retrieval
• Generate and store vector embeddings using OpenAI's Embeddings API
• Build and query a FAISS vector index for similarity search
• Create a RetrievalQA chain that grounds answers in document content
• Prevent hallucination by constraining the model to only use retrieved context