Retriever
LangBot Day 9: The RAG Pipeline — Retriever Meets Generator
reading time: 23 minutes
Recap: On Day 8, LangBot gained a long-term memory — a vector store (Pinecone) filled with document embeddings. You can ask /search home office stipend and get relevant chunks back. But that is half the picture. You still have to type /search, read raw chunks, and synthesize the answer yourself. Today we close the loop: the retriever feeds into the chatbot automatically, so you ask “How much is the home office stipend?” and LangBot answers from your documents — no slash command, no manual lookup.