Weaviate
The AI-native vector database.
Overview
Weaviate is an open-source vector database designed for semantic search and AI applications. It allows users to store data objects and vector embeddings from their favorite machine learning models and scales seamlessly into billions of data objects. Weaviate is cloud-native, resilient, and fast, offering features like semantic search, question-answering, and classification.
✨ Key Features
- Open-source
- Semantic search
- GraphQL API
- Hybrid search (vector and scalar)
- Modular architecture for custom integrations
🎯 Key Differentiators
- Open-source
- GraphQL API
- Modular architecture
Unique Value: Weaviate empowers developers to build sophisticated AI applications with its open-source, AI-native vector database and flexible architecture.
🎯 Use Cases (5)
✅ Best For
- Powering search for e-commerce and content platforms
- Building chatbots and virtual assistants
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Transactional workloads requiring strong consistency
🏆 Alternatives
Weaviate offers more flexibility and control than fully managed solutions like Pinecone, while providing a more user-friendly experience than some other open-source alternatives.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Enterprise Cloud tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Self-hosted open-source version is free.
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