Building a RAG Knowledge Assistant: Chunking, Embeddings, Vector Search, and Answers That Cite Their Sources
This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.
Ask a general-purpose LLM about your company's refund policy and it will answer confidently. It will also be wrong, because it has never seen your policy. That gap is why Retrieval-Augmented Generation (RAG) exists. Instead of hoping the model "knows" your data, you find the relevant text first and…
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- 2026-10-27 21:23 · DEV Community — AI
Building a RAG Knowledge Assistant: Chunking, Embeddings, Vector Search, and Answers That Cite Their Sources