Automatic Schema Intelligence
The engine reads table metadata, foreign keys, descriptions, and naming conventions so it understands how your warehouse, operational database, and documentation are 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, explainable, 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, inspect the reasoning, and use the output as a teaching tool for less technical teammates.
Teach Zoqi your business language once
Teach Zoqi your business language once. Company-specific metrics, KPIs, customer definitions, revenue models, and operational terminology become reusable knowledge across every conversation.
One experience across modern stacks
Connect PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, MongoDB, and planned connectors with native flows built for startup stacks and enterprise data estates alike.
Context Awareness
Why contextual grounding matters.
Unlike general-purpose LLMs, Zoqi grounds every request against your database schema, metadata, and business documentation before generating SQL. When a user asks a question, the model receives the exact map of the available data so the resulting query is syntactically sound, business-accurate, and explainable.
Capture schema, column meanings, table descriptions, and business documentation.
Assemble the right semantic layer and retrieval context before the model sees the prompt.
Produce verified SQL or Mongo queries with traceable reasoning.
Turn results into charts, summaries, and reusable reports instantly.