Introduction to Weaviate
Weaviate is an AI-native database that provides a new generation of software developers with a platform to build intuitive AI-native applications. With Weaviate, developers can create applications with less hallucination, data leakage, and vendor lock-in.
Features of Weaviate
- Hybrid Search: Weaviate's hybrid search capability merges vector search with keyword search techniques, delivering contextual and precise results across all data modalities with less effort.
- Retrieval-Augmented Generation: Build trustworthy generative models with Weaviate's RAG capabilities, enabling the creation of high-quality, relevant, and diverse outputs.
- Cost-Performance Optimization: Weaviate's infrastructure optimization capabilities ensure cost-effective performance, allowing developers to build efficient and scalable applications.
- Vector Database: Weaviate's vector database provides a flexible and scalable solution for storing and querying large amounts of vector data.
- Open-Source: Weaviate is an open-source platform, providing developers with the freedom to customize and extend the platform to meet their specific needs.
How to use Weaviate
Weaviate provides a range of resources to help developers get started, including documentation, GitHub, and a community forum. With Weaviate, developers can start building AI-native applications quickly and easily, with the option to try the platform for free.
Benefits of Weaviate
- Improved Search Experiences: Weaviate's hybrid search capability delivers more accurate and relevant search results, improving the overall user experience.
- Increased Efficiency: Weaviate's cost-performance optimization capabilities ensure that applications are built to be efficient and scalable, reducing costs and improving performance.
- Trustworthy Generative Models: Weaviate's RAG capabilities enable the creation of high-quality, relevant, and diverse outputs, building trust in generative models.
- Flexibility and Customization: Weaviate's open-source platform provides developers with the freedom to customize and extend the platform to meet their specific needs.
FAQs
- What is Weaviate?: Weaviate is an AI-native database that provides a platform for building intuitive AI-native applications.
- What is hybrid search?: Hybrid search is a capability that merges vector search with keyword search techniques, delivering contextual and precise results across all data modalities with less effort.
- What is RAG?: RAG stands for Retrieval-Augmented Generation, a capability that enables the creation of high-quality, relevant, and diverse outputs.
Helpful Tips
- Start with the documentation: Weaviate provides extensive documentation to help developers get started with the platform.
- Join the community: Weaviate's community forum provides a platform for developers to connect, share knowledge, and get support.
- Try it for free: Weaviate offers a free trial, allowing developers to try the platform and see its capabilities firsthand.
