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OrionBelt: Semantic Engine and Query Planner for AI Agents

API-first, OrionBelt compiles declarative YAML models into optimized SQL for various database dialects, facilitating AI agent integration.

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OrionBelt: Semantic Engine and Query Planner for AI Agents

OrionBelt is an API-first semantic engine and query planner designed to streamline the integration of AI agents with data sources. It translates declarative YAML models into optimized SQL queries, supporting a wide range of database dialects. This tool is essential for developers building sophisticated AI agents that require efficient and robust data access.

What OrionBelt Does

OrionBelt acts as a crucial intermediary between AI agents and databases. Developers define their data models and relationships using a declarative YAML format. OrionBelt then processes these models, generating highly optimized SQL queries tailored to specific database systems. This abstraction layer simplifies complex data interactions, allowing AI agents to retrieve and manipulate data without needing direct SQL expertise or knowledge of underlying database schemas.

Key Features

Who OrionBelt is For

OrionBelt is specifically built for AI developers and engineers. It is ideal for those creating AI agents that need to interact with structured data. This includes:

If you are building AI agents that require efficient, optimized, and abstract data access, OrionBelt provides a powerful solution.