Tag: rag
All the articles with the tag "rag".
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Your RAG Is Bad Because Your Chunking Is Bad
A year into production RAG, the retrieval problems teams keep blaming on the model are almost always chunking, metadata, and document structure. Concrete fixes, with the splitting code I actually run.
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pgvector vs the Vector DB Gold Rush
Most teams adding semantic search this year should start in the Postgres they already run, not a new vector database. Where pgvector holds, where it doesn't, and how to tell which side of the line you are on.
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Building a RAG Pipeline Before LangChain Was Cool
A production retrieval pipeline over a few hundred thousand internal documents, hand-rolled in early 2023. The model is the easy part. Retrieval is where the quality lives or dies.