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Connect LLMs to multiple databases through a unified, normalized query layer.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Turbular" yet — see the docs or source repo.
Use Turbular to connect PostgreSQL and MySQL. Show me a unified query interface example so an LLM can read the users and orders tables in the same way, including request and response formats.
A unified API example showing how to run consistent queries across different databases.
Design a workflow with Turbular where a user asks, "Find the top 10 products by sales in the last 30 days," and the LLM generates an executable query through a unified schema and returns structured results.
A complete workflow from natural language to normalized query generation and structured results.
Demonstrate how Turbular normalizes two customer table schemas with different field names but the same meaning, such as customer_name and full_name, and explain the query transformation rules.
An example of normalized schema mapping and an explanation of automatic query field transformation.
Securely connect LLMs to Turso for organization and database management.
Build modular agentic coding workflows with reusable development skills.
Query multiple databases in read-only mode using natural language.
Connect AI to SQL Server for querying, schema exploration, reports, and charts.
Query CSV and TSV data with natural language and cell-level citations.
Turn natural language into SQL across databases with document QA and semantic caching.