Draft:Libvictor

libvictor is an open-source C library designed for high-performance vector search and approximate nearest neighbor (ANN) algorithms. It implements several indexing structures, including HNSW (Hierarchical Navigable Small World) and inverted file (IVF) methods, for efficient search in high-dimensional vector spaces.

Overview

libvictor focuses on modularity and flexibility, enabling integration into custom vector databases or embedding-based search engines. It is intended to provide a lightweight and efficient alternative to existing libraries like FAISS and hnswlib, with support for customizable distance metrics and multi-index or sharding architectures.

libvictor is implemented entirely in the C programming language and exposes bindings for other languages including Python, Go (Golang), and Java, allowing it to be used in a wide range of environments and applications.

Features

• Support for HNSW and IVF indexing structures
• Implementation of various distance metrics (e.g., L2, inner product)
• Written entirely in C for maximum performance and portability
• Bindings available for Python, Go, and Java
• Multi-index and sharding support
• Minimal external dependencies

Licensing

libvictor is released under the GNU Lesser General Public License (LGPL) version 3.

Usage

libvictor can be used to create high-performance vector indices for applications such as recommendation systems, semantic search, and machine learning model serving. Its design makes it well-suited for embedding-based search systems and cases where fine-grained control over memory allocation and indexing behavior is required.

External links

• GitHub repository
• Official website