Elastic & Confluent - The new era of Search, Search: a new era

Join us for an exciting meetup where we explore how search has evolved beyond traditional TF/IDF into the world of machine learning and models. This talk will cover:
🔍 The limitations of classic search
🤖 How models enhance search capabilities
📌 Using vector and hybrid search in Elasticsearch
🧠 Where OpenAI’s ChatGPT and LLMs fit in

Please RSVP if you plan on attending. Registration closes on Tuesday, March 11th, so we can provide a list of names to building security.

Date and Time:
Wednesday, March 12th, from 5:30-7:30 pm EDT

Location:
Elastic Arlington Office - 4100 Fairfax Drive, Ste 500, Arlington, VA 22203

Parking:

• The building’s parking garage is operated by Colonial Parking and is located off N. Randolph Street
• Book a spot on SpotHero
• A Metro Station is located across the street

Agenda:

• 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
• 5:45 pm: Vector and Hybrid search, by Amy Ghate, Principal Solutions Architect at Elastic
• 6:30 pm: Enabling Real-time Search and Analytics with Apache Kafka and Elastic, by Sandon Jacobs, Senior Developer Advocate at Confluent
• 7:00-7:30 pm: Networking & refreshments

Talk Abstracts:
The new era of Search, Search: a new era

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

The main demo covers how to generate embeddings from documents and build a RAG application to ask questions of them