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Serverless Elastic with Ken Exner

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Manage episode 485514462 series 19604
Content provided by Carl Franklin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carl Franklin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
What if you could use ElasticSearch serverless? While at Build, Carl and Richard chatted with Ken Exner about the new announcements around Elastic providing serverless storage and search! Ken talks about paying for only the data you move and store with serverless, rather than needing to operate any infrastructure for Elastic. The conversation digs into the potential of Elastic in Azure AI Foundry to provide ultra-fast access to current company data for your LLM implementations. Elastic did vector databases before LLMs made them essential for RAG - and you can take advantage of it!
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1950 episodes

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Serverless Elastic with Ken Exner

.NET Rocks!

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Manage episode 485514462 series 19604
Content provided by Carl Franklin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carl Franklin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
What if you could use ElasticSearch serverless? While at Build, Carl and Richard chatted with Ken Exner about the new announcements around Elastic providing serverless storage and search! Ken talks about paying for only the data you move and store with serverless, rather than needing to operate any infrastructure for Elastic. The conversation digs into the potential of Elastic in Azure AI Foundry to provide ultra-fast access to current company data for your LLM implementations. Elastic did vector databases before LLMs made them essential for RAG - and you can take advantage of it!
  continue reading

1950 episodes

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