Debugging Elasticsearch Clusters and Building a Real-Time RAG Support Agent
IMPORTANT: PLEASE USE THE QR CODE SENT TO YOUR EMAIL TO ACCESS THE BUILDING
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: Elasticsearch Health APIs: how to interpret and debug issues, by Inès Potier, Senior Software Engineer at Elastic
6:30 pm: Q&A
6:40 pm: Building a Smarter Customer Support
Agent with Elasticsearch and Tavily, by Tomer Yaacoby, Software Engineer at Tavily7:10 pm: Q&A
7:20 - 7:30 pm: Networking and event wrap-up
Abstracts
"Elasticsearch Health APIs: how to interpret and debug issues"
What does it actually mean when cluster health becomes yellow or red? How do we fix it? In this talk, we'll explore how Elasticsearch's health APIs go beyond a simple status signal to provide actionable diagnostics about what is wrong and how to address it.
We'll walk through real case scenarios such as shard availability, master stability, and snapshot repository integrity, showing how the health API guides you from symptom to solution.
Inès Potier is a Senior Software Engineer at Elastic on the Distributed team. Before joining Elastic, she spent six years at Palantir and led their Cassandra development team. She holds a Master's of Science from Carnegie Mellon University and a Diplôme d'Ingénieur from École Polytechnique.
"Building a Smarter Customer Support Agent with Elasticsearch
and Tavily"
RAG-powered support agents are only as reliable as the data they retrieve, and knowledge bases go stale fast. In this talk, we'll build a customer support agent that uses Elasticsearch as its core knowledge base for retrieval, and Tavily as a real-time validation layer that cross-checks every answer against the live web before it reaches the customer.
Tomer Yaacoby is a Software Engineer at Tavily, where he builds and scales AI-powered systems used in real-world applications. He holds a Master’s degree in Computer Science from the Hebrew University of Jerusalem, where his research centered on deep learning, computer vision, and neural network behavior. His work sits at the intersection of machine learning, scalable systems, and practical AI deployment.
Where: Elastic NYC Office
1250 Broadway, Floor 16, Training Room
New York, NY 10001
When: April 23rd | 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!