Build a search engine, not a vector DB
Read OriginalThe article critiques the common RAG approach of relying solely on vector search, using the author's experience at Stripe as an example. It emphasizes that the 'Retrieval' in RAG is foundational and that organizations should first build a high-quality, human-usable search engine over their documentation. Without a solid retrieval system, irrelevant documents will mislead the language model, making the AI tool ineffective.
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