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by _akhe
784 days ago
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RAG is the indexing and querying of info inside documents. It puts it in a vector database, for example, pgvector - an extension of SQL to allow you to store data in numerical form - then you can query it using natural language (via the LLM). There's a possibility for errors in regular SQL querying too, like a user-facing search input. I'm not saying language interfaces are foolproof, but it's not generally wrong when you ask specific things like a person's age, blood pressure, criminal history, etc. if querying against a vector DB of that exact info. |
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