Elastic
Search AI platform: vector database, hybrid search, and AI assistant.
About
Elastic, the company behind Elasticsearch, has repositioned as the Search AI Company with the Elastic Search AI Platform. The Elasticsearch Relevance Engine (ESRE) combines a production vector database with BM25, semantic search via its ELSER model, and hybrid ranking, aimed squarely at RAG and generative AI applications. Native kNN and approximate nearest neighbor search support text, image, and video embeddings.
The Elastic AI Assistant brings a generative AI agent into observability, security, and search workflows, with ES|QL generation and root-cause suggestions. Elastic is publicly traded (ESTC) and partners across the ecosystem, including IBM watsonx and Red Hat OpenShift AI, which use Elasticsearch as their vector store.
What it can do
- Vector database with kNN/ANN plus hybrid BM25+semantic ranking\nESRE toolkit for building RAG and GenAI apps\nElastic AI Assistant for observability and security workflows\nConsolidated search, observability, and SIEM in one stack
Setup
Elastic Cloud free trial, or self-manage via Docker
Prerequisites
Data to index; familiarity with Elasticsearch mappings helps
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 102; Trending score 84/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.