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Weaviate

by 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
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About 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