Research & Development uses the knowledge graph to connect experiments, researchers, and findings across your organization. Semantic search understands scientific terminology and surfaces related work even when different terminology is used. Entity extraction automatically identifies compounds, methodologies, and researchers, building a navigable map of your organization's intellectual capital.
Researchers unaware of prior internal work. Duplicate experiments waste resources.
Semantic search across research reports and patents. Knowledge graph connecting findings.
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.
Prevent duplicate research and wasted resources
Knowledge graph reveals hidden connections
Expert finding connects the right people
Patent landscape analysis in seconds
Start your 14-day free trial. No credit card required. See what your team has been missing.