ELASTIC SEARCH LABS

Search smarter, not harder

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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Evaluating RAG: A journey through metrics
ML Research
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Evaluating RAG: A journey through metrics

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.

Chatbot RAG Reference App

Integrate langchain Bedrock LLM and Elasticsearch

Load and search with Multilingual Model

Why 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