ended3월 16일· 4 sources

Why every RAG project I've built ends up fighting the pipeline — and what I'm doing about it

RAG 프로젝트마다 파이프라인과 싸우게 되는 이유 — 그리고 내가 선택한 해결책

Why it matters

The author describes a recurring pain point in RAG projects: iterating on chunking, embedding, and retrieval strategies requires rewiring the entire pipeline, so most teams ship suboptimal solutions. To address this, they are building klay+, a composable RAG infrastructure layer where each component (ingestion, chunking, embedding, retrieval) is independently swappable without changing application code. The standout feature is parallel projections, which let teams test new strategies side by side with production indexes before committing.

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chunkingchunking strategiesdata ingestionembeddingembedding modelhr agentklay+langchainllmopenclawpipelineragrag architectretrievalvector databasevector embedding

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