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Step 4 · Knowledge Systems · 40 min

Build a RAG Pipeline

Build a RAG Pipeline

Retrieve relevant chunks, then generate answers grounded in your documents.

  1. Chunk and embed documents
  2. Store vectors
  3. Retrieve top-k
  4. Prompt the LLM with context
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Embeddings Explained Build a RAG Pipeline Vector Databases in Practice Chunking Strategies Hybrid Search Citation and Grounding
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