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Broad vector similarity searches burn tokens on noisy chunks and miss structured context. Instead of dumping raw RAG hits into the prompt, give AI agents a lightweight dataset outline with direct entry-path retrieval. Full breakdown in the reply 👇

24/10/26, 8:17 pm1 repost1 like

Alex Patterson

@codercat.dev

Most token bloat I debug in production comes down to agents pulling entire documents when they only needed three fields. Narrow GROQ projections + an explicit outline fix that immediately.

CodingCat.dev

@codingcat.dev

Watch the 60-second breakdown on building structured dataset outlines for AI agents: https://youtu.be/0gsqAIGxXzc Read the full Sanity Knowledge Bases guide: https://codingcat.dev/post/sanity-knowledge-bases