Elasticsearch
Distributed full-text search and analytics engine with built-in vector and hybrid search
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It does full-text (BM25) keyword search, dense and sparse vector search, and hybrid search that combines lexical and vector ranking, exposed over a RESTful API.
Teams use it for log and event analytics, application search, and as the retrieval layer for RAG. It runs self-hosted or on-premises, or as managed Elastic Cloud (serverless and hosted on AWS, GCP, and Azure). Open source under a dual-license model.
Pricing: Usage-based
Choosing an AI search API right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Choosing an AI search API right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Elasticsearch Alternatives
Explore 26 products in the Vector databases category. View all Elasticsearch alternatives.
Meilisearch
Open-source search engine in Rust with full-text, semantic, and hybrid search
Typesense
Open-source typo-tolerant search engine with built-in vector and hybrid search
Azure AI Search
Microsoft managed search service with vector, hybrid, and agentic retrieval for RAG
Supabase Vector
Open-source Postgres vector database and AI toolkit built on pgvector
Redis
In-memory vector database for low-latency similarity search across AI applications
TopK
AI-native search engine combining vector, keyword, and faceted search
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