The Customer Support use case arms every agent with an AI copilot that retrieves answers from your knowledge base in real-time. As a ticket comes in, the system automatically surfaces the most relevant KB articles, past resolutions, and product documentation. Answers include citations so agents can verify before responding, reducing escalations and improving CSAT.
Support agents can't find answers quickly, leading to inconsistent responses and frustrated customers.
RAG-powered agent assistant with real-time suggestions and automatic KB article retrieval.
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.
Reduce average handle time by 40%
Consistent answers across every agent
Auto-suggest responses grounded in your KB
Real-time sync -- new articles are searchable immediately
Start your 14-day free trial. No credit card required. See what your team has been missing.