Using Elasticsearch on Azure to Power next-generation AI applications

Generative AI (GenAI), Large Language Models (LLMs), and Semantic Search represent a giant technological leap forward in how developers build applications with natural language text, images, and audio data. These technologies are changing how your employees & customers interact with their data and how you can customize the knowledge of Generative AI.

Elastic has been at the heart of search for more than a decade. We are the world's most popular search engine for private and public data, with billions of downloads and hundreds of thousands of developers using our stack. As the leader in search AI, Elastic has delivered innovation in Elasticsearch to power the next generation of AI applications. Elastic powers production vector database use cases at the billion vector scale and beyond.

Agenda

• Large Language Model Fundamentals
• Vector/Semantic search
• ELSER – Elastic Learned Sparse EncodeR & E5
• Auto chunking & Auto inferencing
• Vector Quantization
• Semantic Search with Maps, Geo Filtering & Query rules
• Non linear reranking

Our speaker tonight is Sunile Manjee, a Search AI Specialist at Elastic. Sunile is based in Houston and will be presenting in person!

Food and soft drinks will be served at ~5:30pm on the 10th floor - we will kick off the discussion there @6pm after everyone has had a chance to eat, meet anyone else you'd like to and have a chat :-). Feel free to start arriving from 5pm on if you are nearby. PLEASE RSVP so we have an accurate food count.

PARKING: For free parking please park across the street on the third and fourth floors of the parking garage at 12711 Queensbury; parking in the Microsoft building is not free

In-person: 750 Town and Country Blvd #1000 · Houston, TX
Livestream: Click here to join the meeting
Recording: https://www.youtube.com/@HoustonAzureUserGroup