Agent Builder & Elasticsearch Results with LambdaMART
Details
IMPORTANT: PLEASE USE THE QR CODE SENT TO YOUR EMAIL TO ACCESS THE BUILDING
Come show your support for your fellow developers!
We’re very happy to bring the community together for an evening of learning and connection. This time, we'll have a community member sharing a use case and, as usual, an Elastic employee sharing their expertise as well.
Join us to learn something new and meet others who are passionate about search, observability, and security.
Agenda:
- 5:30 pm: Doors open; say hi and eat some food
- 6:00 pm: Agent Builder: Providing Relevant Context for Data Driven Agents", by Kathleen DeRusso, Principal Software Engineer I at Elastic
- 6:30 pm: Q&A
- 6:40 pm: Improving Search Ranking with LambdaMART and Elasticsearch, by Brandon (Anbang) Wu, Senior Machine Learning Engineer at Quizlet
- 7:10 pm: Q&A
- 7:20 - 7:30 pm: Networking and event wrap-up
Abstract
"Agent Builder: Providing Relevant Context for Data Driven Agents"
What are agents? What is context engineering? Join us as we dive into the importance of context engineering for providing relevant information to agents, and how to build grounded agents using Elastic Agent Builder.
"Improving Search Ranking with LambdaMART and Elasticsearch"
Quizlet’s search extended manual Elasticsearch boosts with a Learning-to-Rank (LambdaMART) model. Using query, engagement, and content features, we trained on study signals and validated with A/B tests, achieving measurable lifts in study rates: +3.42% on blended pages, +1.86% on sets pages, and +1.05–1.81% in downstream outcomes. This talk shares how we combined a custom ML re-ranker with Elasticsearch results—covering training data design, offline evaluation, latency, and model interpretability—and offers guidance for Elastic users to go beyond boosting and improve ranking quality.
Where: Elastic NYC Office
1250 Broadway, Floor 16, Training Room
New York, NY 10001
When: Feb 19th | Doors open at 5:30 PM
If you’re a long-time Elastic user or just starting your journey, this is the perfect opportunity to share ideas, meet new people, and get inspired. See you there!
AI summary
By Meetup
In-person Elastic user/developer meetup; format: talks and networking; outcome: leave with use-case ideas on agent builder and Elasticsearch results.
AI summary
By Meetup
In-person Elastic user/developer meetup; format: talks and networking; outcome: leave with use-case ideas on agent builder and Elasticsearch results.
