Automatic table relationship awareness
The engine reads table metadata, foreign keys, descriptions, and naming conventions so it understands how your warehouse is really stitched together.
How It Works
Built to understand your data before it answers.
Zoqi combines schema intelligence, contextual grounding, and transparent SQL generation so every answer is fast, verifiable, and aligned with your business logic.
Every answer stays inspectable
Power users can review the exact SQL generated for each request, verify joins and filters, and use the output as a teaching tool for less technical teammates.
Teach the model your company language
Define business logic once, such as what counts as an active user, churn risk, or expansion-ready account, and reuse it consistently across every prompt and report.
One experience across modern stacks
Connect PostgreSQL, MySQL, BigQuery, Snowflake, and MongoDB with native connectors built for startup stacks and enterprise data estates alike.
Context Awareness
Why contextual grounding matters.
Unlike standard LLMs that hallucinate, Zoqi indexes your database schema and documentation first. When a user asks a question, the model receives the exact map of the available data so the resulting query is syntactically sound and business-accurate.
Capture schema, column meanings, table descriptions, and business docs.
Assemble the right context package before the model sees the prompt.
Produce readable SQL or Mongo queries with traceable reasoning.
Turn results into charts, summaries, and reusable reports instantly.