What Is RAG?
A practical introduction to retrieval-augmented generation: how evidence reaches a model, how it can fail, and what to check.
Read postConnecting the right information to intelligent systems.
A practical introduction to retrieval-augmented generation: how evidence reaches a model, how it can fail, and what to check.
Read postCombine lexical and vector rankings while preserving source content; an executable fusion example and explicit evaluation boundaries.
Read postHow adding document context to chunks can improve retrieval, what Anthropic actually measured, and how to evaluate the tradeoffs.
Read postHow lexical search, vectors, and contextual retrieval can help find evidence, and why local hosting does not guarantee privacy.
Read posttypedef's data context layer — a graph of relationships over the data estate, computed once on commit, with provenance and confidence on the edges.
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