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RAG for business: teaching AI to answer from your documents

Retrieval-Augmented Generation architecture in plain words and an implementation checklist.

1 min read

What is RAG

RAG is an approach where the model first retrieves relevant fragments from your knowledge base and grounds its answer on them.

Architecture

  1. Ingest and chunk documents
  2. Vectorize (embeddings)
  3. Similarity search
  4. Generate an answer with citations

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