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
tantaraio/voy
Voy is a WebAssembly (WASM) vector similarity search engine, developed in Rust, designed for high-performance and lightweight deployment in web environments, including CDN edge servers and client-side applications. It leverages k-d trees for efficient indexing and fast nearest neighbor searches, making it ideal for creating responsive search experiences. The library is characterized by its small footprint (75KB gzipped, 69KB brotli) and tree-shakable architecture, which allows for optimized bundle sizes and asynchronous operations via Web Workers. Voy supports the generation of portable embedding indexes and offers a comprehensive API for indexing, searching, adding, removing, and clearing resources based on their embeddings. While it currently relies on external JavaScript libraries like `transformers.js` or `web-ai` for generating text embeddings (a built-in WASM transformation is planned), its core functionality focuses on managing and querying vector data. Voy is under active development, with plans for index updates, improved TypeScript support, and built-in embedding generation. It provides both a class-based API and individual functions for flexible integration, allowing developers to manage multiple indexes and perform efficient similarity searches.
https://github.com/tantaraio/voy
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