hupe1980/vecgo
🧬🔍 Vecgo is a pure Go, embeddable, hybrid vector database designed for high-performance production workloads. It combines commit-oriented durability with HNSW + DiskANN indexing for best-in-class performance.
Vecgo is for developers building applications that need to find similar items or information very quickly from extremely large datasets. It helps you store and search high-dimensional vectors (numerical representations of data like images, text, or user preferences) and returns the most relevant results. Developers of search engines, recommendation systems, or AI applications would use this to power their products.
Use this if you are a Go developer building a high-performance application that requires fast, scalable, and durable approximate nearest neighbor search directly embedded within your service, avoiding external database dependencies.
Not ideal if you need a fully managed, standalone vector database service or if your application is not written in Go.
Stars
14
Forks
2
Language
Go
License
Apache-2.0
Category
Last pushed
Jan 19, 2026
Commits (30d)
0
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