Weaviate is an AI-native, open-source vector database designed to help developers scale and deploy AI applications. It supports lightning-fast vector similarity searches over raw vectors or data objects, enabling flexible integration with various technology stacks and model providers. Its cloud-agnostic nature allows seamless deployment, and it is equipped with extensive resources for developers to facilitate learning and integration into existing projects. Weaviate's robust developer community ensures that users obtain continuous support and insights.
Weaviate Core Features
Fast vector similarity search
Cloud-agnostic deployment
Integration with multiple model providers
Open-source codebase
Extensive documentation and support
Weaviate Pro & Cons
The Cons
The Pros
Open-source with a strong developer community
Supports hybrid search combining vector and keyword search
Enables reliable generative AI applications with retrieval-augmented generation
Cloud and deployment agnostic for flexible usage
Integrates with numerous AI model providers and frameworks
Scalable agentic AI capabilities for building context-aware AI agents
Weaviate Pricing
Has free plan
YES
Free trial details
14 days free sandbox for learning and prototyping
Pricing model
Free Trial
Is credit card required
No
Has lifetime plan
No
Billing frequency
Monthly
Details of Pricing Plan
Standard
25 USD
Price per 1M vector dimensions stored/month
Basic SLA tier
Professional
135 USD
Price per 1M vector dimensions stored/month
4h (24/7) phone escalation response for Severity 1
8h (24/7) phone escalation response for Severity 2
Business Critical
450 USD
Price per 1M vector dimensions stored/month
1h (24/7) phone escalation response for Severity 1
4h (24/7) phone escalation response for Severity 2
8h (24/7) phone escalation response for Severity 3