topic Community Bricktalk | Vector Search in the Lakehouse with NEAREST BY in Announcements https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/172817#M1116 <P><SPAN>Hey Databricks Community! <BR />Join us for a free, community-sponsored BrickTalk on <STRONG>Thursday, October 29!</STRONG> BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with data and AI, giving you a direct line to the people behind the products.</SPAN></P> <P><SPAN>While vector search originally developed as a millisecond serving problem for chatbots, many enterprise workloads, like daily payment transactions or overnight historical record enrichment, are batch-oriented and require similarity searches across millions of records. Join us to explore how <STRONG>Lakehouse vector</STRONG> search brings these batch workloads directly into <STRONG>Delta and Iceberg tables</STRONG> using </SPAN><SPAN>NEAREST BY</SPAN><SPAN> joins in SQL, eliminating the need for separate serving endpoints or dedicated vector databases.</SPAN></P> <P><STRONG>What You'll Learn:</STRONG></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>Batch-Oriented Workloads:</STRONG><SPAN> How vector search applies to enterprise tasks like matching millions of daily transactions or historical data enrichment.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>SQL Integration:</STRONG><SPAN> How to use </SPAN><SPAN>NEAREST BY</SPAN><SPAN> joins to find closest matches across tables directly in Databricks SQL and Runtime.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Efficiency &amp; Cost Optimization:</STRONG><SPAN> How optimized execution engines and vector indexes narrow search candidates to boost throughput and lower costs.</SPAN></LI> </UL> <P><STRONG>Date &amp; Time: Thursday, October 29</STRONG></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>PT:</STRONG><SPAN> 8:00 AM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>ET:</STRONG><SPAN> 11:00 AM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>London (GMT):</STRONG><SPAN> 3:00 PM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>IST:</STRONG><SPAN> 8:30 PM</SPAN></LI> </UL> <P><SPAN><span class="lia-unicode-emoji" title=":backhand_index_pointing_right:">👉</span></SPAN><A href="https://usergroups.databricks.com/events/details/databricks-user-groups-bricktalks-presents-community-bricktalk-sql-native-vector-search/" target="_self"> Register today to save your spot!</A></P> Wed, 28 Oct 2026 08:35:58 GMT Tushar_Parekar 2026-10-28T08:35:58Z Community Bricktalk | Vector Search in the Lakehouse with NEAREST BY https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/172817#M1116 <P><SPAN>Hey Databricks Community! <BR />Join us for a free, community-sponsored BrickTalk on <STRONG>Thursday, October 29!</STRONG> BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with data and AI, giving you a direct line to the people behind the products.</SPAN></P> <P><SPAN>While vector search originally developed as a millisecond serving problem for chatbots, many enterprise workloads, like daily payment transactions or overnight historical record enrichment, are batch-oriented and require similarity searches across millions of records. Join us to explore how <STRONG>Lakehouse vector</STRONG> search brings these batch workloads directly into <STRONG>Delta and Iceberg tables</STRONG> using </SPAN><SPAN>NEAREST BY</SPAN><SPAN> joins in SQL, eliminating the need for separate serving endpoints or dedicated vector databases.</SPAN></P> <P><STRONG>What You'll Learn:</STRONG></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>Batch-Oriented Workloads:</STRONG><SPAN> How vector search applies to enterprise tasks like matching millions of daily transactions or historical data enrichment.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>SQL Integration:</STRONG><SPAN> How to use </SPAN><SPAN>NEAREST BY</SPAN><SPAN> joins to find closest matches across tables directly in Databricks SQL and Runtime.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Efficiency &amp; Cost Optimization:</STRONG><SPAN> How optimized execution engines and vector indexes narrow search candidates to boost throughput and lower costs.</SPAN></LI> </UL> <P><STRONG>Date &amp; Time: Thursday, October 29</STRONG></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>PT:</STRONG><SPAN> 8:00 AM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>ET:</STRONG><SPAN> 11:00 AM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>London (GMT):</STRONG><SPAN> 3:00 PM</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>IST:</STRONG><SPAN> 8:30 PM</SPAN></LI> </UL> <P><SPAN><span class="lia-unicode-emoji" title=":backhand_index_pointing_right:">👉</span></SPAN><A href="https://usergroups.databricks.com/events/details/databricks-user-groups-bricktalks-presents-community-bricktalk-sql-native-vector-search/" target="_self"> Register today to save your spot!</A></P> Wed, 28 Oct 2026 08:35:58 GMT https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/172817#M1116 Tushar_Parekar 2026-10-28T08:35:58Z Re: Community Bricktalk | Vector Search in the Lakehouse with NEAREST BY https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/174833#M1135 <P data-path-to-node="16"><SPAN><span class="lia-unicode-emoji" title=":police_car_light:">🚨</span> </SPAN><STRONG data-index-in-node="3" data-path-to-node="16">Tomorrow is the day!</STRONG></P> <P data-path-to-node="17"><SPAN>Ready to bring vector search natively into your Lakehouse using pure SQL?</SPAN><SPAN> Don't miss our live BrickTalk on <STRONG>Vector Search in the Lakehouse with NEAREST BY</STRONG></SPAN><SPAN>!</SPAN></P> <P data-path-to-node="19"><A href="https://usergroups.databricks.com/events/details/databricks-user-groups-bricktalks-presents-community-bricktalk-vector-search-in-the-lakehouse-with-nearest-by/" target="_self"><SPAN><span class="lia-unicode-emoji" title=":backhand_index_pointing_right:">👉</span> Register today to reserve your spot!</SPAN><SPAN> <span class="lia-unicode-emoji" title=":rocket:">🚀</span></SPAN></A></P> Wed, 28 Oct 2026 08:38:17 GMT https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/174833#M1135 Tushar_Parekar 2026-10-28T08:38:17Z Re: Community Bricktalk | Vector Search in the Lakehouse with NEAREST BY https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/175008#M1136 <P><SPAN>Hey Databricks Community!</SPAN><BR /><SPAN>If anyone missed yesterday's awesome BrickTalk session, you can </SPAN><A href="https://community.databricks.com/t5/bricktalks-tv/bricktalk-recording-vector-search-in-the-lakehouse-with-nearest/ba-p/175007" target="_self">watch it here</A><SPAN>.</SPAN></P> Fri, 30 Oct 2026 09:52:52 GMT https://community.databricks.com/t5/announcements/community-bricktalk-vector-search-in-the-lakehouse-with-nearest/m-p/175008#M1136 Tushar_Parekar 2026-10-30T09:52:52Z