1 link tagged with all of: semantic layer + data agent + langchain + self service analytics
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The LangChain data team replaced their old BI tool with Hex to power an agent-first data stack. By embedding models, metric definitions, business context, and trust signals, the data agent now handles about 40× more queries while the team focuses on high-impact projects.
- LangChain replaced its BI tool with Hex, combining notebooks, dashboards, and a conversational agent accessible via UI, Slack, CLI, and MCP
- Rich dbt model documentation plus a semantic layer defining key metrics let the agent generate trustworthy, company-aligned SQL and analysis
- The agent now handles ~40x the query volume the 3-person data team could manage, with ~2,200 conversations/month (23 per user) across a third of the company
- Freed from routine queries, the data team now focuses on refining models, adding guardrails, and tackling higher-leverage analytical work