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What is Semantic Search?
Semantic search retrieves content by meaning rather than exact keyword match, using vector embeddings. osFoundry’s workspace-wide search combines semantic with keyword (BM25) for best-of-both results.
Detail
Traditional keyword search misses synonyms and paraphrases. Semantic search embeds both the query and the documents into vectors and finds nearest neighbours — a query about "pricing" can match a doc that only uses the word "cost".
Hybrid search (semantic + keyword) usually beats either alone. Keywords catch exact terms (acronyms, names); embeddings catch concepts.
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