Search & KnowledgeLetter D1 min read
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Semantic search using embeddings to find meaningfully similar content.
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Dense retrieval maps queries and documents into vector space, surfacing relevant passages even when keywords do not match exactly. It powers modern enterprise search and RAG pipelines.
Pair dense retrieval with metadata filters and reranking for production-grade knowledge assistants.
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RAG done right: ingestion and chunking
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