Elastic & Red Hat | Meetup Krakow User Group

Join us for a meetup on May 15th together with Elastic and Red Hat! Doors open at 17.45 and we share some pizzas and drinks before the presentations begin at 18.30. We wrap up around 20.00.

Wykłady w czasie tego spotkania będą prowadzone po angielsku, ale pytania będzie można zadać również po polsku ;-)

Adres: Yolk, Józefa Sarego 5, 31-047 Kraków (Clubhouse sala)

Agenda:
17.45 Doors open
18.00: Pizzas, drinks and networking
18.30: The inner workings of ES|QL
19.15: Elasticsearch: Vector and Hybrid Search
20.00: Wrap up

Talks:
Building and deploying AI infused apps with Elasticsearch using Podman and OpenShift AI
The talk explores how to build and deploy a Retrieval Augmented Generation (RAG) application using OpenShift AI and Podman AI Lab. He will introduce the Podman AI Lab extension, demonstrating how it enables local model testing before deploying into production environments. The session covers vector search fundamentals, demonstrating how Elasticsearch handles vector embeddings for efficient information retrieval. He will also discuss RAG use cases, showcasing how this approach enhances chatbot responses by combining LLMs with real-time data. Finally, he will walk through a live demo of deploying a chatbot on OpenShift AI, integrating Elasticsearch for vector search using LangChain. Attendees will gain a practical understanding of vector-based applications and how to bring them to production environments.

Speaker: Syed M Shaaf, Principal Architect @Red Hat

Elasticsearch: Vector and Hybrid Search
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 LLMs come into play to with vector search

Piotr Przybył (LinkedIN), Senior Developer Advocate @Elastic