The Elastic team is back with another meetup at our office in downtown Chicago! Join Sang Lee (Senior Solutions Architect and Elastic) and learn about vector search! eff Vestal will also be at the meetup for all questions ChatGPT and Elasticsearch. Check out his most recent blog post.
Please register no later than Monday, June 26th, 2023. We need to provide a list of the attendees' names to building security 48 hours before the event and visitors will be emailed a QR code for elevator access. Visitors will still need to check-in at the lobby with an ID for access to the 9th-floor lounge.
Date and Time:
Tuesday, June 27th, from 5:00-7:00pm CDT
Industrious Ogilvie 9th Floor Lounge - 500 West Madison Street Chicago, IL 60661
5:00 pm: Doors open; say hi, grab a seat, and eat some food.
5:30 pm: Elasticsearch: Vector and Hybrid Search followed by Q&A
6:15-7:00 pm: Networking
7:00 pm: Event ends
Ride the mall escalators at the entrance to the building to the security desk on the 3rd floor where you'll use the Access Code sent to you via email at the turnstiles (Please feel free to lean on the security team if you need any direction - they are very helpful).
From there, you can proceed to the Industrious Suite on Floor 10 and check in at the Community Desk for your host Sang Lee and Scott Gose/the Elastic Meetup. The event itself takes place in the 9th-floor lounge.
Talk Abstract: Elasticsearch: Vector and Hybrid Search
Search is not just traditional TF/IDF any more but the current trend of machine learning and models has opened another dimension for search. This talk gives an overview of:
Classic" search and its limitations
What is a model and how can you use it
How to use vector search or hybrid search in Elasticsearch
Where OpenAI's ChatGPT or similar LLMs come into play to with Elastic
Speaker Bio: Sang Lee - Senior Solutions Architect at Elastic
Sang Lee is an Elastic Solutions Architect. He has broad experience monitoring infrastructures and applications for manufacturing, telecommunications, and data centers. Now focused on Observability by adding context to monitoring using all available data, both old and new.