voy
fann
| voy | fann | |
|---|---|---|
| 4 | 3 | |
| 720 | 152 | |
| 5.1% | -0.7% | |
| 7.4 | 6.1 | |
| 8 months ago | 11 months ago | |
| Rust | Rust | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
voy
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Ask HN: Semantic Vector Searching in WASM?
Would this[1] library help you? It's a Rust vector similarity search engine, written to be compiled to Wasm. I discovered it through articles like these[2].
[1] https://github.com/tantaraio/voy - Voy – A WASM vector similarity search written in Rust
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FANN: Vector Search in 200 Lines of Rust
This is great! See also Voy, A WASM vector similarity search written in Rust:
https://github.com/tantaraio/voy
- Show HN: Client-Side WASM Vector Search
fann
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FANN: Vector Search in 200 Lines of Rust
We did some benchmarking and found that an index of 1M vectors using 15 trees can be built up in ~115 seconds (8 CPU, 8 GB RAM). https://github.com/fennel-ai/fann/pull/8.
Given this, around a second to build an index of 10K items sounds about right.
What are some alternatives?
usearch - Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
gollum - Production grade LLM-ops in Golang
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
wasm-learning - Building Rust functions for Node.js to take advantage of Rust's performance, WebAssembly's security and portability, and JavaScript's ease-of-use. Demo code and recipes.