What we’re about
We’re delighted to have you join the Elastic global community! This group is for anyone interested in making data usable in real-time and at scale for use cases like security, observability, enterprise search, and many more, using our Elasticsearch, Kibana, Logstash, and Beats products (https://www.elastic.co/products/).
Speak at a meetup: The Community wants to hear from you! Present about your Elastic Stack stories, be it a 5-15 minute lightning talk or a detailed 25-45 minute technical presentation with Q&A. Our Speaker Guide is full of tips on giving a stellar presentation. If you’re interested, visit the elastic/call-for-meetups repo or send us an email at meetups@elastic.co.
Elastic Community Youtube Channel: All meetups are recorded and uploaded to YouTube within a few days of the event. Subscribe here to stay up to date!
Local community organizers wanted!
We’re always on the lookout for committed local organizers who will help the group thrive. If this sounds interesting to you, the Community Team at Elastic is here to support you! Email us at meetups@elastic.co.
We know that people enjoy giving back to the communities they care about, so we’ve created an Organizer guide to help you get started on your path to leading an Elastic user group.
Learn more about Elastic:
Elastic Contributor Program: https://www.elastic.co/community/contributor
Elastic Community: https://www.elastic.co/community
Community Newsletter: https://www.elastic.co/community/newsletter
Discussion Forums: https://discuss.elastic.co/
Elastic Cloud Free Trial: https://www.elastic.co/cloud/elasticsearch-service/signup
Code of Conduct: This Meetup community adheres to the Elastic Community Code of Conduct. Attendance to events run as part of this Meetup group means you agree to be an awesome human and engage by these rules.
Upcoming events
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Real-Time AI with Confluent + Elastic Agent Builder
Keystone Innovation District, 800 E. 18th Street, Kansas City, MO, USJoin the Elastic Kansas City User Group and Kansas City Apache Kafka® Confluent for a joint meetup on Wednesday, January 28th. We’re kicking off 2026 with two technical talks focused on building real-time, AI-powered applications—plus plenty of time for networking and pizza.
🎤 Talk 1: Elastic Agent Builder & Context Engineering
Justin Higdon from Elastic, will walk through how to design and build intelligent agents using Elastic Agent Builder, with a focus on context engineering and real-world patterns.
🎤 Talk 2: Building a Real-Time AI Chatbot with Confluent Flink, Elastic, and OpenAI
Daniel Green from Confluent will demonstrate how to combine streaming data with search and AI to build a real-time chatbot using Confluent Flink, Elastic, and OpenAI.
📅 Date and Time:
Wednesday, January 28th from 5:30-7:30 pm
📍Location:
Goodwill's AI Lab - 800 E. 18th St. Kansas City, MO 64108
Enter throughKeystone CoLab, proceed to the back double-doors, and into the AI Lab. The AI Lab is situated in the hallway behind Keystone's CoLab.
🚗 Parking:
- 5x reserved spots in parking lot (says Reserved)
- Street parking along 18th
- Street parking along Campbell
- Street parking along Charlotte
- parking area at corner of Campbell & 18th Street
🗓 Agenda:
- 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
- 6:00 pm: Agent Builder & Context Engineering - Justin Higdon (Principal Solutions Architect at Elastic)
- 6:30 pm: Building a Real-time AI Chatbot with Confluent Flink, Elastic and OpenAI - Daniel Green (Customer Success Technical Architect at Confluent)
- 7:00-7:30 pm: Networking, refreshments & pizza
Talk Abstracts:
Building a Real-time AI Chatbot with Confluent Flink, Elastic and OpenAI - Daniel Green (Customer Success Technical Architect at Confluent)
Abstract: How to build a real-time AI chatbot using Apache Flink, Confluent’s data streaming platform, Elastic, and OpenAI. The presentation covers the need for a modern streaming architecture for generative AI. The example provided outlines the use of a Kafka-based data streaming platform to provide a scalable, decoupled backbone for continuously ingesting, processing, and enriching enterprise data to power AI applications. The application is decomposed into four key stages — data augmentation, inference, workflows, and post‑processing — and show how Confluent and Flink enable real-time contextual knowledge bases, low-latency prompt enrichment, and composable multi-step reasoning. Elastic serves as the vector database and semantic search engine, combining hybrid (text + vector) retrieval, filtering, and relevance ranking to ground LLM responses in business data. Finally, an end-to-end AI chatbot architecture is demonstrated along with review of common production use cases, such as customer service, semantic search, recommendations, and task automation, illustrating how Confluent and Elastic together unlock real-time, governed, and AI-ready data for next-generation applications.1 attendee
Past events
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