Transform your search applications with AI-powered intelligence. This hands-on workshop teaches you how to build an MCP application with Elasticsearch Serverless using multiple ML and AI models. 

 
You'll work with ELSER on Elasticsearch Inference Service (EIS), test multiple languages using the e5 model, learn quantization techniques, use ES|QL for search, tune relevancy using a UI called Relevance Studio, and much more. 

 
This workshop is for engineers, solution architects, and backend developers. Bring your curiosity and get ready to build the future of search.

• Build and scale with Elastic Cloud Serverless: Create configuration-free, auto-scaling search infrastructure optimized for performance
• Leverage vector search & AI models: Use dense/sparse embeddings, semantic reranking, and integrated AI models (ELSER, E5 multilingual, custom ML) for smarter results
• Develop intelligent search apps: Implement cross-language search, vector quantization, and grounded AI chatbots
• Try Elastic’s model context protocol (MCP): Add real-time query intelligence, context awareness, and relevance optimization
• Deliver production‑ready search experiences: Use ES|QL, automated text chunking/vectorization, and best‑practice tuning to go from prototype to production