Shypd.aiThe largest open index of AI toolsVearch is a cloud-native distributed vector database for efficient similarity search of embedding vectors in AI applications. It offers hybrid search capabilities, combining vector search with scalar filtering for fast retrieval.
Trending
About
Vearch is a cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications. It provides key features such as hybrid search, which combines vector search with scalar filtering, and high performance for fast vector retrieval, searching millions of objects in milliseconds. The database is built for scalability and reliability, offering replication and elastic scaling out. Vearch integrates with popular AI frameworks like Langchain, LlamaIndex, Langchaingo, and LangChain4j, allowing it to be used as a memory backend for various AI applications. It supports multiple deployment methods including Kubernetes, Docker Compose, and source compilation, and offers SDKs for Python, Go, Java, and Rust.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
