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
hora-search/hora
Hora is a high-performance library written in Rust, specializing in approximate nearest neighbor (ANN) search algorithms. It provides various indexing methods, including Hierarchical Navigable Small World Graph (HNSWIndex), Satellite System Graph (SSGIndex), Product Quantization Inverted File (PQIVFIndex), and BruteForce (BruteForceIndex), with more under development such as Random Projection Tree (RPTIndex). The library is designed for efficiency, leveraging SIMD acceleration and multiple threading for fast similarity searches. Hora also provides bindings for multiple programming languages including Python, Javascript (via WebAssembly), and Java, with Go, Ruby, Swift, R, and Julia bindings in progress. It supports different distance metrics like Dot Product, Euclidean, Manhattan, and Cosine Similarity. The project emphasizes reliability through Rust's memory safety and broad testing, and it is highly portable, supporting various operating systems and WebAssembly, without heavy dependencies. Its primary purpose is to serve as an infrastructure component for vector search and retrieval within AI/ML applications, and its implementation focuses purely on ANN search rather than being a general-purpose database with an ANN feature.
https://github.com/hora-search/hora
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