Natural language queries across your structured databases. Structured answers, generated dashboards, and live monitoring views — no SQL expertise required, no analyst bottleneck.
Your organization stores critical business data in SQL databases — revenue, metrics, customer records, inventory. Accessing it requires SQL expertise or analyst requests, causing delays and backlogs.
Agent Query removes that bottleneck entirely.
Users type a question in plain English. Agent Query handles everything else — all queries are read-only with RBAC enforced at every layer.
User types a question in natural language. No SQL knowledge needed, no special syntax to learn.
Agent Query interprets intent, identifies relevant databases, and generates optimized SQL behind the scenes.
Results are returned as structured tables, charts, or summaries. Users never see the SQL.
Users describe what monitoring view they need, and Agent Query generates it in the web UI. Live, queryable views from your own data — no design tools, no development sprints, no waiting for the next release cycle.
Dashboards update in real time against your databases and can be shared with any authorized user in your organization.
Agent Query connects to the databases your organization already runs. Cross-database queries are supported out of the box.
Full read-only query support
Full read-only query support
Full read-only query support
Coming soon on the roadmap
Agent Query shares the same data pipeline and access control infrastructure as Golden Retriever. Database connections configured for one product are available to the other. Role-based access control is enforced at every layer.
Agent Query is also available as a standalone product for organizations that need structured data access without the full document retrieval stack.