Tag: vector embeddings
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How RAG Pipelines Chunk Documents Into Vectors
Your RAG chunks are destroying 40% retrieval accuracy — and most teams never realize it. The way you split a document into pieces before embedding it is the single most consequential decision in any Retrieval-Augmented Generation pipeline, yet most developers reach for the default settings in LangChain or LlamaIndex and move on. The result? Queries…