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Weaviate
关于 Weaviate
Weaviate 是一个开源的向量数据库，既能存储对象也能存储向量。通过混合搜索、自动向量化和多模态数据支持，构建人工智能原生应用。
标签
#向量数据库#开源#混合搜索#多模态
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Weaviate 核心功能
Hybrid Search — Combine vector and keyword-based search in a single query for more relevant results, leveraging both semantic understanding and exact matches.
Automatic Vectorization — Use built-in modules to automatically vectorize data during import, eliminating the need for manual embedding generation.
Multi-Modal Support — Store and search across various data types including text, images, and other media, enabling rich AI applications.
Scalable Architecture — Designed for horizontal scaling, handling billions of objects and high query loads with ease.
GraphQL and REST APIs — Interact with your data using intuitive GraphQL queries or traditional REST endpoints for flexibility.
Module Ecosystem — Extend functionality with modules for vectorization, generative AI, and more, integrating with popular AI services.
Open Source — Fully open-source under BSD-3 license, allowing customization and self-hosting without vendor lock-in.
Weaviate 订阅计划
Open Source
Free
- Self-hosted
- Community support
- All core features
Weaviate Cloud (Free Tier)
$0/month
- Managed service
- Limited resources
- Ideal for prototyping
Weaviate Cloud (Sandbox)
Free for 14 days
- Full managed features
- Trial period
- No credit card required
Weaviate Cloud (Standard)
From $0.15/hour (check official pricing)
- Production-ready
- Scalable resources
- Support options
Enterprise
Custom (check official pricing)
- Dedicated support
- SLA
- Advanced security and compliance
