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Search & KnowledgeLetter D1 min read

Dense Retrieval

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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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Semantic Search vs Keyword Search: What to Use When

A deeper dive on this topic is coming soon to the AshnaAI blog. In the meantime, explore related guides and product updates.

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