RAG and Embeddings with Mistral

The Pattern

Embed your documents, retrieve the relevant chunks per question, and let the chat model answer from retrieved context with citations. Grounded answers instead of memorized guesses.

Practical Build

Chunk documents by section (not arbitrary windows), embed once and store with metadata, retrieve top chunks plus neighbors, and instruct the model to say not in the documents when context runs dry.

Evaluate

Keep a test set of real questions with known answers. Measure hit rate and hallucination rate before trusting the system with users.