# Retrieval-Augmented Generation (RAG) An AI/ML workload supported by the integration of vector embeddings and traditional relational data in pgvector. This process benefits from performing complex operations, such as JOINs, within a single system. --- _First compiled from job `4bea023b` on 2026-04-10T19:38:37Z._ ## Update from job `4bea023b` (2026-04-11T14:23:49Z) An AI/ML workload supported by the integration of vector embeddings within a relational database. It leverages pgvector to perform similarity searches alongside traditional data.
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- Schema version
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- Created
- Apr 10, 2026, 21:38:37
- Last updated
- Apr 11, 2026, 16:23:49
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Last compiled from jobs