Elastic & Confluent - The new era of Search, Search: a new era
Details
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:
š The limitations of classic search
š¤ How models enhance search capabilities
š Using vector and hybrid search in Elasticsearch
š§ Where OpenAIās 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 buildingās 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
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