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How to Achieve Near Human-Level Performance in Chunking for RAGs
The costly yet powerful splitting technique for superior RAG retrieval Thuwarakesh Murallie · Follow Published in Towards Data Science · 8 min read · 6 hours ago — Photo by Nataliya Vaitkevich Good chunks make good RAGs. Chunking, embedding, and indexing are critical aspects of RAGs. A RAG app that uses the appropriate chunking technique performs well in terms of output quality and speed. When engineering an LLM pipeline, we use different strategies to split