OrionBelt Analytics

Example Use Cases

• 1

  Automatic schema discovery and ontology generation for relational databases.

• 2

  Create accurate semantic models (OBML) for AI-powered analytics stacks.

• 3

  Execute safe, fan-trap-free SQL queries with semantic context and SPARQL support.

Description

OrionBelt Analytics provides an AI-powered MCP server that automatically discovers database schema relationships and generates comprehensive RDF/Turtle ontologies with embedded SQL mappings. It supports multiple databases including PostgreSQL, Snowflake, ClickHouse, Dremio, BigQuery, DuckDB, and Databricks SQL. The server integrates with GraphRAG for intelligent schema discovery and enables seamless creation of OBML semantic models, facilitating guaranteed-correct SQL compilation and advanced semantic querying.