
Weaviate
Open-source vector database with hybrid search and RAG tooling
About
Weaviate is an open-source vector database designed to support a variety of use cases. It offers hybrid search capabilities, combining vector and keyword search to provide more effective results. This allows developers to cater to diverse search needs and improve overall user experience. Weaviate also provides multi-tenant isolation, making it suitable for applications serving multiple users or customers. Additionally, its generative features are particularly useful for building Retrieval-Augmented Generation (RAG) applications, where the database can aid in generating new content based on existing information.
Best for
- •Teams building hybrid search
- •RAG apps needing multi-tenant isolation
Similar programs in Infrastructure
Algolia
FeaturedManaged search API with NeuralSearch AI for production apps
Anyscale
Ray-based distributed compute for AI and ML at scale
Baseten
Production ML model deployment with auto-scaling GPU inference
Chroma
Open-source embedding database for building AI applications