Weaviate
The open source vector database.
Overview
Weaviate is an open-source vector database designed to store, index, and search data objects and their vector embeddings. It stands out with its AI-native features, including built-in modules for vectorization and question answering (Generative Search), allowing developers to build end-to-end RAG pipelines directly within the database. It offers flexible deployment options, including self-hosting and a managed cloud service.
✨ Key Features
- Open source
- Vector and keyword (BM25) search
- Built-in modules for vectorization and generative search (Q&A)
- GraphQL API for complex queries
- Scalable and fault-tolerant architecture
- Flexible deployment (self-hosted, Kubernetes, managed cloud)
🎯 Key Differentiators
- Open-source with strong community support
- AI-native features like built-in generative search
- Flexible deployment options for greater data control
Unique Value: Offers the flexibility and transparency of open source combined with powerful, integrated AI features, allowing developers to build sophisticated RAG and semantic search applications with greater control over their data and infrastructure.
🎯 Use Cases (5)
✅ Best For
- Product search for e-commerce
- Internal document search
- Patent and research paper discovery
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Applications requiring a simple, fully managed, hands-off vector store
🏆 Alternatives
Compared to managed-only solutions like Pinecone, Weaviate provides more flexibility and control through its open-source nature and self-hosting options, appealing to enterprises with strict data residency or customization requirements.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Open source is free. Weaviate Cloud Services (WCS) has a free sandbox.
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