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# From RAG to ontology: Databricks bets on context as the key to trusted AI agents

**[InfoWorld](https://daily.dev/sources/infoworld)** · 6 min read · 0 upvotes · 0 comments

## Summary

Databricks has unveiled Genie Ontology, currently in preview, which automatically extracts business context from enterprise data sources and organizes it into a graph that AI agents can use to understand how an organization operates. Using a PageRank-inspired ranking system, it identifies the most authoritative business definitions across an organization. Analysts see promise in the approach — a unified context layer could improve consistency and trust in AI outputs — but warn that data quality and governance readiness remain critical hurdles. They also note growing vendor confusion as Snowflake, Microsoft, and others pursue similar semantic and context-layer offerings under different names. The broader picture is a race among data platform vendors to become the enterprise AI control plane, with Databricks positioning its lakehouse as the foundation for agentic AI through a combination of LTAP, OpenSharing, and Genie Ontology.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4186146/from-rag-to-ontology-databricks-bets-on-context-as-the-key-to-trusted-ai-agents.html>

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Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#big-data](https://daily.dev/tags/big-data), [#rag](https://daily.dev/tags/rag), [#databricks](https://daily.dev/tags/databricks)

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