What is Weaviate?
Weaviate is a popular open-source vector database that supports semantic search, hybrid search, and RAG, and can be self-hosted or used in the cloud, making it suitable for AI application retrieval infrastructure.
The main features of Weaviate include open-source vector database, semantic/hybrid search, self-hosting, and RAG, which can help users complete related tasks more efficiently, saving a lot of time and labor.
What can Weaviate be used for?
In practical applications, Weaviate is often used in RAG, semantic search, and AI retrieval scenarios. Its open-source and self-hosting capabilities are also reasons why many users choose it.
Weaviate Pricing and Suitable Users
Weaviate offers a free plan, allowing users to try it out for free before upgrading to a paid plan if needed. Before using it, note that technical capabilities are required, and self-hosting requires maintenance. If you are looking for RAG-related AI tools, Weaviate is worth considering.
Key Features
- Open-source vector database
- Semantic/Hybrid Search
- Self-hosting
- RAG
Pros
- Open-source and self-hosting
- Feature-rich
Cons
- Requires technical capabilities
- Self-hosting requires maintenance
Use Cases
- RAG
- Semantic Search
- AI Retrieval
Editor's Note
If you're looking for an open-source, self-hosting vector database, Weaviate is a viable option along with Pinecone and Qdrant. We give it a rating of 4.3.
FAQ
Can Weaviate be self-hosted?
Yes, it is open-source and supports self-hosting, with cloud solutions also available.