Milvus
Billion-scale vector search
Weaviate — Vector Databases Platform
Open Source
What is Weaviate?
Weaviate is an open-source vector database that combines vector search with structured filtering and generative capabilities. It supports multiple vectorization modules, hybrid search (combining BM25 and vector search), and built-in integrations with LLMs for retrieval-augmented generation. Weaviate offers both self-hosted and managed cloud deployments, with a GraphQL API that makes it easy to query complex data structures.
Key features
Core capabilities this platform advertises.
- Open-source vector database
- Hybrid search (vector + keyword)
- Multi-modal support
- GraphQL and REST APIs
- Kubernetes-native deployment
Common use cases
Developers who need a flexible, open-source vector database with multimodal and hybrid search
- Multimodal search across text, images, and more
- RAG with hybrid retrieval
- E-commerce product search
- Content recommendation engines
- Self-hosted vector search
Best Weaviate alternatives & competitors
Top companies in Vector Databases you can use instead of Weaviate.
Pinecone
Fully managed serverless vector database
Qdrant
High-performance open-source vector search
Chroma
Lightweight embedded vector database
Supabase
pgvector hosting
Neo4j
Native graph database with Cypher query language
MongoDB Atlas Vector Search
Elasticsearch
Redis Vector
ClickHouse
Analytics + vector
Neon
Serverless Postgres
TigerGraph
Vespa
LanceDB
Turbopuffer
SingleStore
ArangoDB
Compare Weaviate
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Best integrations for Weaviate
Companies from adjacent layers in the AI stack that work well with Weaviate.
