Elastic AI Search
FreemiumElasticsearch with vector search, hybrid retrieval, and enterprise AI features.
Tool Info
Categories
Vector DBs
Developer
Elastic
License
Proprietary
Official Website
Repository
Overview
Elastic extends Elasticsearch with vector and hybrid search for AI applications.
Enterprises use it for unified search, security, and observability plus RAG.
Strong when teams already run the Elastic Stack.
Features
- Dense vector search
- BM25 + vector hybrid
- ELSER sparse vectors
- Elastic Cloud AI
Pricing
Free tier available
Free (basic)Elastic CloudEnterprise
Pros
- Enterprise support
- Unified search and observability stack
- Mature ecosystem
Best For
Enterprise hybrid searchObservability + AILarge document corpora
When NOT to Use
- Licensing complexity
- Can be expensive at scale
Typical Users
Enterprise search teamsSRE and observability engineers
Related Tools
Alternatives
Related Architecture Guides
Tags
#vector-db#elastic#enterprise
Related Guides
- Vector Databases
Purpose-built databases for storing, indexing, and querying embedding vectors at scale.
- Hybrid Search
Combine keyword and semantic search for more accurate and comprehensive information retrieval.
- Enterprise RAG Architecture
Production architecture for enterprise retrieval-augmented generation — ingestion, indexing, retrieval, generation, and governance at scale.
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