OrionBelt Semantic Sidecarfor Agentic AI & Knowledge Graphs
Transforming Data into Intelligent Action
RALFORION connects profound expertise in AI, Knowledge Graphs, and Advanced Analytics to help enterprises intelligently access data, semantically link it, and derive automated, actionable insights.
Tech Stack
Semantic
Data Platform
AI / ML
Engineering
Our Services
Engineering the Future of Data
From semantic modeling to autonomous agents, we provide the full spectrum of modern data engineering services.
Agentic AI Development
Building autonomous AI agents that can reason, plan, and execute tasks within your data ecosystem. We integrate LLMs with enterprise data to create intelligent assistants that drive productivity.
Knowledge Graphs & Ontologies
Structuring your complex enterprise data into semantic networks. We design and implement Knowledge Graphs that provide context and meaning to your raw data.
Data Lakehouse Architecture
Modernizing data platforms with Lakehouse architecture. We implement scalable, open solutions using Apache Iceberg and Dremio to unify data warehouses and data lakes.
Advanced Analytics & BI
Delivering enterprise-scale business intelligence solutions. We turn data into visual insights using modern BI tools and custom visualizations.
Semantic Layer Design
Bridging the gap between technical data and business meaning. We create unified semantic layers that ensure consistent metrics across the organization.
IT Strategic Consulting
Guiding digital transformation with 25+ years of experience. We provide architectural oversight and R&D leadership for transitioning to modern data stacks.
The OrionBelt Platform
Five open-source tools that work together, from database schema to analytical insight and scheduled reports. The Semantic Layer and Sidecar is the governed access point for AI agents, so they query consistent metrics instead of raw tables.
Ecosystem Architecture
How the OrionBelt tools fit together: schema introspection, ontology, semantic model, and the AI agents and clients that consume them through MCP, REST, and SQL interfaces.
OrionBelt Analytics
Schema to OntologyMCP server that auto-generates RDF/OWL ontologies from database schemas, then layers GraphRAG and OBQC validation on top, so AI agents get semantic schema discovery and fan-trap-free SQL.
- Supports PostgreSQL, Snowflake, ClickHouse, Dremio & more
- Auto-generates RDF/OWL ontologies from live DB schemas with W3C R2RML mappings
- GraphRAG: graph traversal (up to 12 hops) + ChromaDB vector embeddings for semantic schema discovery
- OBQC: deterministic ontology-based SQL validation catches fan-traps, bad joins & type mismatches before execution
- SPARQL 1.1 query interface via persistent Oxigraph RDF store
- 13 MCP tools, multi-schema support, workspace persistence
OrionBelt Semantic Layer
Semantic SidecarOpen-source Semantic Sidecar for AI, analytics, and governed data systems. Injects governed business semantics into existing platforms with no architecture change and no dedicated semantic infrastructure. Define dimensions, measures, metrics, business rules, and context in declarative YAML (OBML); OBSL compiles them into optimized, dialect-specific SQL and executes via a unified API. Query in business concepts, not raw schemas.
Live: orionbelt.ralforion.com- Semantic Sidecar: drop-in governed semantics for existing platforms, no architecture change
- Analytics as Code: version-controlled YAML compiled into executable SQL, DQ rules, KPIs, and semantic context
- One model powers AI agents, analytics workflows, DQ checks, regulatory & business KPIs, and reporting
- 8 SQL dialects: PostgreSQL, Snowflake, BigQuery, ClickHouse, Databricks, DuckDB/MotherDuck, Dremio, MySQL
- Custom SQL AST for guaranteed correct, injection-safe generation
- Composite Fact Layer (CFL): correct multi-fact, multi-grain queries across separate fact tables with built-in fan-trap and chasm-trap prevention
- Artefacts Composability Resolution (ACR): resolves which dimensions, measures, and metrics stay composable with the current selection, powering guided query builders and safe agent composition
- Agent-facing API: model health on load, query-plan endpoint, structured warning codes
- Freshness Inheritance: cached queries inherit freshness from their source tables, so one heartbeat invalidates every dependent query
- Unified API: REST, MCP server, PostgreSQL Wire Protocol (psql/JDBC/ODBC/BI), Gradio UI, DB-API 2.0 & Apache Arrow Flight SQL drivers, no BI tool in the middle
- OSI interoperability: bidirectional with Open Semantic Interchange
OrionBelt Runner
Batch Reports & AuditRun OBML query batches against the Semantic Layer and emit reports. YAML-defined runs produce self-contained markdown, HTML, or PDF reports with a YAML run-log sidecar capturing compiled SQL, query plans, and timing. Built for cron, CI, and scheduled audits.
- YAML-defined runs: endpoint, named queries, table/value/list sections
- Self-contained markdown, HTML, or PDF reports with locale-aware number formatting
- Always-on YAML run log: compiled SQL, planner explain, server timing, warnings
- Optional per-query TSV exports for downstream tooling
- Three deployment shapes: single-model, multi-model, or runner-loaded session
- Drive from cron, systemd, GitHub Actions, or Cloud Scheduler (no built-in cron)
OrionBelt Ontology Builder
OWL & SKOS WorkbenchBrowser-based ontology workbench for OWL ontologies and SKOS vocabularies. Streamlit + rdflib. No Java, no Protégé. Built for the people who actually do the modeling work, not just admire the tool.
Live: orionbelt.streamlit.app- Full CRUD for classes, properties, individuals, restrictions, annotations
- Bulk operations: paste names/CSV, spreadsheet edit, multi-select delete
- Validation & OWL-RL reasoning: orphans, duplicate labels, domain/range, SKOS cycles
- Upper-ontology starters (gist by Semantic Arts) and 5 templates
- Merge-aware imports with diff, conflict detection, prefix reconciliation
- Interactive vis-network graph with click-to-edit; full undo/redo
OrionBelt Chat
Conversational AIThe interface that ties it all together. One conversation to go from raw database schema to ontology, semantic model, compiled SQL, and interactive charts, across cloud or fully local LLMs.
- 300+ models via OpenRouter; Anthropic & OpenAI direct; local via MLX or Ollama
- Dual MCP server support (Analytics + Semantic Layer) with auto-reconnect & retry
- MCP sampling with tools: servers can delegate LLM calls back through the chat client
- Inline Plotly charts (FastMCP ui:// resources) and Mermaid diagrams
- Auto-detect downloadable content: TTL, JSON, CSV, SQL, SPARQL, YAML, XML
Commercial Offerings
OrionBelt is open by default. The OSS distribution is production-grade for self-hosted use. For teams that want a managed runtime, embedded analytics terms, or production support,
RALFORION d.o.o. offers:
Embedded Analytics
Relicensing terms for shipping OrionBelt Semantic Layer inside a commercial product.
Managed Cloud
Hosted OrionBelt runtime with SLAs. Leave operations, patching, and uptime to us.
Enterprise Features
Capabilities tailored for enterprise deployments: SSO, audit, hardened access controls.
Consulting & Support
Implementation, semantic modeling, and production support from the people who built it.
Leadership
25+ Years of Data Excellence
RALFORION is led by Ralf Becher, a Senior Data & AI Engineer with a proven track record delivering enterprise-scale solutions for Fortune 500 clients including Deutsche Post and Telekom Deutschland.
As the former Head of R&D at Vizlib/Astrato Analytics and founder of Orionbelt.ai, Ralf has pioneered innovative approaches in AI-enhanced analytics, including the design of the Astrato.io SQL engine and Semantic Layer, implementing the principles of the United Star Schema concepts, invented by Francesco Puppini.
Currently, he leads research initiatives combining Knowledge Graphs with Semantic Layers to enable next-generation Agentic AI integrations for agile analytics.
Qlik Luminary
Recognized consistently (2014-2020) as an industry thought leader.
Enterprise Scale
Experience with massive datasets and complex system integrations.
Professional Milestones
Jan 2025 - Present
Director @ RALFORION d.o.o.
Leading IT consulting in Data Lakehouse & AI.
Jan 2025 - Present
Lakehouse Consultant @ Fixit TM Holding
Expert guidance on data lakehouse architecture and implementation.
Apr 2024 - Present
Founder @ Orionbelt.ai
Leading Agentic AI product development & research initiatives.
2020 - 2024
Head of R&D @ Vizlib / Astrato
Architected groundbreaking SQL engine & unified semantic layers.
Partners
Trusted Technology Partners
We collaborate with industry-leading platforms to deliver best-in-class data and AI solutions.
Dremio
The open data lakehouse platform. Dremio delivers lightning-fast queries directly on cloud data lake storage with Apache Iceberg, eliminating the need for costly data copies and extracts.
Memgraph
High-performance, in-memory graph database built for real-time analytics and deep-link analysis. Memgraph enables powerful graph queries on connected data at enterprise scale.
Mail and Deploy
Automated report distribution solution for business intelligence. Mail and Deploy streamlines the delivery of personalized, scheduled reports to stakeholders.