Weaviate
Open-source AI-native vector database with built-in vectorization and hybrid search
4.3/ 5
2019
Open SourceOpen-source free, Weaviate Cloud from $25/mo after 14-day trial, Enterprise custom APIOpen Source api linux mac windows
Visit WeaviateAbout Weaviate
Weaviate is an open-source, AI-native vector database that supports hybrid search combining vector similarity with keyword matching. What sets Weaviate apart is its built-in vectorization modules that can automatically convert text, images, and other data into vectors using popular embedding models, eliminating the need for separate vectorization pipelines. Weaviate Cloud provides a managed service for teams that want the benefits without the operational overhead. The platform is popular in RAG applications, semantic search, and AI-powered knowledge management systems.
Key Features
- Hybrid vector + keyword search
- Built-in vectorization modules
- Multi-modal data support (text, images)
- GraphQL and REST APIs
- Automatic schema inference
- Real-time data ingestion
- Multi-tenancy support
- Backup and disaster recovery
Pros
- Open-source with self-hosting option
- Built-in vectorization eliminates extra pipelines
- Strong hybrid search capabilities
- More affordable than Pinecone at scale
- Active community and development
Cons
- More complex setup than Pinecone
- Cloud pricing less predictable than alternatives
- Documentation can be overwhelming
- Performance tuning requires expertise
Tags
vector-databaseopen-sourcehybrid-searchai-nativesemantic-search
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