Enterprise Knowledge Search combines dense vector search, sparse vector search, and BM25 full-text search into a single query pipeline. Using Reciprocal Rank Fusion, it surfaces the most relevant documents regardless of how the question is phrased or which repository the answer lives in. Every result is cited back to the original source with page-level attribution.
Employees spend 2.5 hours/day searching for information across SharePoint, Confluence, Drive, and email.
Unified search across all document repositories with natural language Q&A and source citations.
These are real queries that Lakehouse42 can answer instantly using hybrid retrieval across your documents.
Dense + sparse + BM25 search combined with Reciprocal Rank Fusion for maximum recall.
Hot data served from the realtime layer. Complex queries routed to the lakehouse.
Every answer includes citations back to the original document and page.
Eliminate information silos across departments
Sub-50ms response times even at scale
Automatic re-indexing when documents change
Role-based access control respects existing permissions
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