@bashifuirkashi: One of the easiest ways to destroy your RAG pipeline? Bad chunking. 🧩 Chunks that are too large → you retrieve the right information, but bury it in irrelevant context. Chunks that are too small → you split apart information the model actually needs to understand the answer. The goal is finding the balance: 🎯 Small enough for precise retrieval 🧠 Large enough to preserve context And there’s no perfect chunk size that works for every RAG system. You have to test it against your documents, queries, and retrieval results. If you want to learn how to build production-ready AI systems and position yourself for $150K+ AI engineering roles: Comment “CHUNK” and I’ll send you the training. 🚀

Bashi | Software Engineer

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Friday 04 September 2026 16:10:17 GMT