https://community.databricks.com/t5/databricks-tv/databricks-vector-search-may-2024/ba-p/72524 <P><IFRAME src="https://www.youtube.com/embed/JNv-GRMNTvY?si=yoRx2j-4tMAUoxdP" width="560" height="315" frameborder="0" allowfullscreen="" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin"></IFRAME></P> Fri, 14 Jun 2024 17:25:11 GMT lara_rachidi 2024-06-14T17:25:11Z https://community.databricks.com/t5/databricks-tv/databricks-vector-search-may-2024/ba-p/72524 <P><SPAN>Databricks Vector Search is GA: Vector Search enables developers to improve the accuracy of their Retrieval Augmented Generation (RAG) and generative AI applications through similarity search over unstructured documents such as PDFs, Office Documents, Wikis, and more. This enriches the LLM queries with context and domain knowledge, improving accuracy, and quality of results. New capabilities were added in GA: PrivateLink and IP access lists, support for CMK, improved audit logs and cost attribution tracking. Also, you can now save generated embeddings as a Delta table. Link to blog post: <A href="https://www.databricks.com/blog/announcing-mosaic-ai-vector-search-general-availability-databricks" target="_blank" rel="noopener">https://www.databricks.com/blog/announcing-mosaic-ai-vector-search-general-availability-databricks</A></SPAN></P> Fri, 14 Jun 2024 17:25:11 GMT https://community.databricks.com/t5/databricks-tv/databricks-vector-search-may-2024/ba-p/72524 lara_rachidi 2024-06-14T17:25:11Z