DataHub has just introduced Context Intelligence, an intelligent layer that helps AI agents stop "hallucinating" when working with large data systems like Snowflake or BigQuery.
Background
The biggest issue for AI agents when working with databases is not their ability to write SQL, but rather their lack of context regarding how tables are linked together. DataHub resolves this by leveraging the query logs of previous data analysts to build a semantic index. Instead of guessing from raw schemas, the agent references joins that have actually worked in practice.
Why It Matters
In complex data systems at many enterprises (which often have thousands of undocumented tables), traditional AI agents frequently join data incorrectly. DataHub's solution provides a reliable "map" for the agent, helping deploy data analytics chatbots (analytics agents) more safely and accurately. This tool also supports MCP (Model Context Protocol), making it easy to integrate into environments like Claude or Cursor.