pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
alibaba/zvec
Zvec is an in-process vector database developed by Alibaba Group, optimized for embedded use within applications. It offers a lightweight, high-performance solution for vector similarity search, capable of handling billions of vectors in milliseconds. Key features include native support for both dense and sparse vectors, enabling multi-vector queries. It also supports hybrid search, combining semantic similarity with structured filters for more precise results. Zvec ensures data durability through write-ahead logging (WAL), guaranteeing persistence even in the event of process crashes or power failures. It allows concurrent read access by multiple processes, while writes are handled by a single process. As an embedded library, Zvec is highly versatile, running across various environments such as notebooks, servers, CLI tools, and edge devices. It supports multiple platforms including Linux, macOS, and Windows, with client libraries available for Python and Node.js, and recent additions like Dart/Flutter SDK for mobile development. The project emphasizes ease of installation and use, requiring no external servers or complex configurations.
https://github.com/alibaba/zvec
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