Madison Elastic Meetup: Modernize Elasticsearch with Vector, kNN, NLP, LLM

Attention Madison Elastic-stackers! Join Sang Lee (Senior Solutions Architect and Elastic) on Wednesday, July 26th, for an in-person meetup at Great Dane Pub and Brewing Eastside. Sang will present 'Modernize Elasticsearch with Vector, kNN, NLP, and LLM' followed by beer, networking, and light bites.

Date and Time:
Wednesday, July 26th, 5:00-7:00 pm

Location:
Great Dane Eastside
876 Jupiter Drive Madison, Wisconsin

Agenda:

• 5:00 pm: Doors open; say hi, grab a seat, enjoy a beer.
• 5:30 pm: Modernize Elasticsearch with Vector, kNN, NLP, and LLM, followed by Q&A
• 6:15-7:00 pm: Networking
• 7:00 pm: Event ends

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.