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How do I use RAG? (Retrieval-Augmented Generation)

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owakasolya
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How do I use RAG? (Retrieval-Augmented Generation)


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owakasolya
Posts: 18
Admin
Topic starter
(@owakasolya)
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Joined: 4 weeks ago

RAG works in four simple steps:

  1. Store your knowledge
    Convert PDFs, docs, text into embeddings and store them in a vector database.

  2. Retrieve
    When the user asks a question, search the database for the most relevant chunks.

  3. Augment
    Add those chunks to the prompt so the model has the right context.

  4. Generate
    The LLM produces an answer using the retrieved content.

Tools like Flowise, LangChain, and LlamaIndex make RAG very easy.


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