Tag: search
All the articles with the tag "search".
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The Support Set Is the Model
Tabular foundation models do their learning inside a context window, which means the ten thousand rows you hand them matter more than which model you picked. Support-set selection is a retrieval problem, and almost nobody is measuring it.
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Hybrid Search: BM25 and Embeddings Are Better Together
Pure vector search quietly fails on the exact terms, codes, and acronyms users actually type. Combining BM25 with dense retrieval, fusing the two, and paying the latency bill it costs.
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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.