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Elasticsearch Vector
by Elastic
Vector search in Elasticsearch
Elasticsearch provides dense vector search capabilities alongside traditional text search, enabling hybrid search for AI agent memory and retrieval systems.
Ease of Use
0/10
Community
0/10
Performance
0/10
Documentation
0/10
🎯 Key Features
Dense vector search
Hybrid search (text + vector)
kNN search
Approximate search
Full-text search
Aggregations
Machine learning features
Scalable architecture
Strengths
Hybrid search capabilities
Mature ecosystem
Excellent analytics
Scalable
Rich features
Limitations
Complex setup
Resource intensive
Expensive at scale
Not optimized for vectors
Best For
- Hybrid search needs
- Existing Elasticsearch users
- Analytics + search
- Enterprise deployments