Weaviate
FreemiumWeaviate is an open-source vector database that enables developers to build AI-powered applications with semantic search, hybrid search, and generative AI capabilities. It supports vector and scalar data, with built-in modules for text, image, and multi-modal search. Key capabilities include automatic schema inference, GraphQL API, and integration with machine learning models. Target users are developers and data scientists seeking a flexible, self-hosted or cloud-based vector database. Its uniqueness lies in its open-source nature, modular architecture, and native support for hybrid search combining vector and keyword search.
4/5
|Pricing Model: $0|Chatbots & AssistantsCore Features
- Open-source vector database
- Hybrid search capabilities
- GraphQL and REST APIs
- Automatic schema inference
- Multi-modal search support
- Integration with ML models
Use Cases
Open-source vector database
Hybrid search capabilities
GraphQL and REST APIs
Automatic schema inference
Speed & Accuracy
Response Speed81/100
Output Quality77/100
Detailed Analysis
Features83/100
Ease of Use81/100
AI Model Quality77/100
Integrations & API79/100
Data Privacy & Security69/100
Customer Support70/100
Value for Money82/100
Pros
- Open-source with active community
- Hybrid search (vector + keyword)
- Built-in modules for AI models
- GraphQL API for easy querying
Cons
- Steep learning curve for beginners
- Self-hosting requires technical expertise
- Limited free cloud tier storage
- Performance may vary with scale
Pricing
Free Cloud
$0
- 1 cluster
- 5GB vector storage
- Community support
Standard Cloud
$25/mo
- Up to 3 clusters
- 50GB vector storage
- Standard support
Enterprise
Custom
- Unlimited clusters
- Custom storage
- Dedicated support