RALFORION: OrionBelt Semantic Sidecar for Agentic AI RALFORION builds OrionBelt, an open-source Semantic Sidecar for AI, analytics, and governed data systems. The OrionBelt Semantic Layer (OBSL) injects governed business semantics into Agentic AI workflows via MCP (Model Context Protocol), with knowledge graphs, ontologies, RDF/OWL, SPARQL, GraphRAG, and text-to-SQL across PostgreSQL, Snowflake, BigQuery, ClickHouse, Databricks, DuckDB, Dremio, and MySQL. The OrionBelt Platform

OrionBelt Semantic Layer (OBSL): Semantic Sidecar: governed AI data access, compiles YAML models into dialect-specific SQL via custom AST, MCP server, REST API, PostgreSQL Wire Protocol, Apache Arrow Flight SQL.

OrionBelt Analytics: MCP server with GraphRAG and OBQC validation, generates RDF/OWL ontologies from database schemas with fan-trap-free SQL.

OrionBelt Runner: YAML-defined batch reports (markdown, HTML, PDF) for cron and CI audits.

OrionBelt Ontology Builder: browser-based OWL & SKOS workbench (Streamlit + rdflib).

OrionBelt Chat: conversational AI with MCP sampling, 300+ models via OpenRouter, local LLMs via MLX/Ollama.

Services Agentic AI development, Knowledge Graphs & Ontologies, Data Lakehouse architecture (Apache Iceberg, Dremio), Semantic Layer design, and AI governance. Topics

What is a Semantic Sidecar?

Agentic AI Data Access via MCP

Governed Text-to-SQL & Fan-Trap Prevention

OrionBelt Semantic Layer Documentation

OrionBelt Platform One-Pager