RAG made easy with Spring AI and Elasticsearch

In person at the Elastic San Francisco office -- registration required to access the building and see the address. Registration cut off is the morning of the event, so register beforehand!
Zoom Added!
https://elastic.zoom.us/j/93623154676?pwd=madaBcupQ0YFv6As12Qxm1z33MOhFX.1

Join Philipp Krenn from Elastic to learn how to build a Retrieval Augmented Generation (RAG) application with private data on Spring AI. Using the new Elasticsearch vector store integration, we read and tokenize a PDF document, send it to Elasticsearch, and query it to provide accurate and contextually relevant information to your LLM.
In addition to the Spring AI part, we'll also look behind the curtain of vector search and what is happening underneath the hood of a vector database.