Hello @RA_DATA !
Yes, Databricks provides the Databricks Vector Search solution, which is a vector database optimized for storing and retrieving embeddings. With Vector Search, you can create a vector search index from a Delta table, which includes embedded data and metadata. You can then query the index using a REST API to identify the most similar vectors and retrieve the associated documents. By structuring the index to automatically sync when the underlying Delta table is updated, you can ensure that your search results remain up-to-date.
To learn more about the Vector Search feature in Databricks, I highly recommend that you review the following documentation: https://docs.databricks.com/en/generative-ai/vector-search.html#databricks-vector-search
Best Regards,
Jรฉssica Santos
