SEARCH LABS
Build with Elasticsearch
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.
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?
Elasticsearch 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
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Support for variety of machine learning models, so you keep up with rapid innovation
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Elastic’s Sparse Encoder model included, for out of the box semantic search
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