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RAG over a knowledge base

Finds the right fragment in your documents and passes it on — no retelling by the model.

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How it works

This graph answers questions grounded in your knowledge base:

  1. Entry receives the question.
  2. Knowledge base points to the document source (the rag_kb node).
  3. RAG search retrieves relevant chunks and produces an answer.
  4. Answer returns the result.

What to configure after import

  • Bind your own knowledge base in the Knowledge base node.
  • Tune the number of chunks and the similarity threshold in the RAG search node.

Copy the nodes into the editor or open the template as a new workflow.