Product area
AI Search
Databricks AI Search (formerly Vector Search): indexes, syncing from Delta tables, hybrid and full-text search for RAG.
Concepts
- 1Databricks AI Search (formerly Vector Search)Databricks AI Search (called Mosaic AI Vector Search until June 2026) is the service that stores embeddings and answers "find me the rows most similar to this vector" in milliseconds. It has two moving parts. An endpoint is the serving infrastructure: it…Intermediate
- 2AI Search index types and sync modesDatabricks AI Search gives you one kind of object to query, an index, but four ways to build one. Two questions decide which you get: who computes the embeddings, and who keeps the index in step with the data underneath it. A third question, which endpoint…Advanced
- 3Building a RAG pipelineRetrieval-augmented generation (RAG) is the pattern of fetching relevant material from your own data before asking a language model to answer, instead of relying only on what the model memorized during training. On Databricks that pipeline has six stages…Advanced
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