Weaviate

Weaviate is an open-source vector search engine designed for AI-first applications. It allows storing objects and vector embeddings while providing vector similarity-based search functionality, along with traditional structured filtering support.

A notable feature of Weaviate is its GraphQL API, which makes querying and data management more flexible and intuitive. Additionally, Weaviate supports multimodal data, capable of processing different types of data such as text and images, and provides cross-modal search functionality.

As a vector database, Weaviate plays an important role in RAG systems. It can efficiently store and retrieve document embeddings, support complex queries and filtering conditions, providing powerful backend support for RAG applications. Weaviate also provides integration with multiple embedding models, enabling developers to easily use the most suitable models for their applications.