ELASTIC SEARCH LABS
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You shouldn’t need a doctorate to use machine learning in your application. Let us show you how easy and quick it can be to dive into the world of AI search with Elastic.
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How ToIntegrations
•ES|QL queries to Java objects
Examples
We have an example for every use case
Setup your first project, configure a client, learn search basics with pagination and filters. Add full text and vector search, learn about generating and storing embeddings for kNN search. Explore Elastic’s sparse encoder model for out of the box semantic search.
View examplesWhy Elastic?
Elastic Search is the easiest and most versatile way to get started with vector search.
Giving you a simplified developer experience for every step of your journey, towards building modern search experiences with generative AI.
01
A full vector database to generate, store, search embeddings with the familiar Elastic API
02
Support for variety of machine learning models, so you keep up with rapid innovation
03
Elastic’s Sparse Encoder model included, for out of the box semantic search
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