Elasticsearch
Vector search and kNN queries built into the established Elasticsearch platform
Elasticsearch provides dense vector search and kNN queries as part of its search platform. Teams already using Elasticsearch can add vector similarity search for RAG and semantic search without adopting a separate vector database. Supports HNSW indexing, hybrid search combining BM25 with vector similarity, and integration with embedding models.
Pricing: Usage-based
Elasticsearch Alternatives
Explore 19 products in the Vector databases category. View all Elasticsearch alternatives.
TopK
AI-native search engine combining vector, keyword, and faceted search
Redis
In-memory vector database for low-latency similarity search across AI applications
Supabase Vector
Open-source Postgres vector database and AI toolkit built on pgvector
Zilliz
A Widely-Adopted Vector Database.
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