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Schema Extractor Agent

Schema Extractor Agent: Automate schema retrieval for accurate SQL generation.

Publisher

Accenture

Product Details

This agent retrieves or updates schema information from a connected data source so an LLM can generate accurate SQL. It first checks whether schema metadata is already in ChromaDB; if not, it queries the database, updates ChromaDB, and sends the schema context back for SQL generation.

The agent does this without user prompts, extracting and structuring schema context for downstream agents and tracking changes in the database structure over time. That eliminates the need for manual schema mapping or dependence on DBAs, both common pain points in data querying. It is designed for business users who query data across SQL databases in natural language, which accelerates time-to-insight and broadens data access across the enterprise. It connects to PostgreSQL, MySQL, BigQuery, and SQLite, and integrates with ChromaDB.

Key Use Cases

Automated Vector Schema Caching

Inspects operational databases including BigQuery and PostgreSQL, automatically persisting current schema DDL definitions in ChromaDB to ground natural language SQL query agents.

Zero-Touch Database Schema Synchronization

Detects structural database changes across enterprise repositories and updates vector metadata without requiring manual DBA mapping or human intervention.

Explore detailed deployment path

Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.