gollum
voy
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gollum
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From slow to SIMD: A Go optimization story
I did a similar optimization via https://github.com/viterin/vek as the SIMD version. Some somewhat unscientific calculations showed a 10x improvement staying in float32: https://github.com/stillmatic/gollum/blob/07a9aa35d2517af8cf...
TBH my takeaway was that it was more useful to use smaller vectors as a representation
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Agency: Pure Go LangChain Alternative
I like Go a lot for working with OpenAI etc, it's 'just' API calls and Go is great at that. I've opensourced some bits here: https://github.com/stillmatic/gollum -- in particular, function dispatch (given a prompt, return an arbitrary Go struct) is really nice, as is a very fast in-memory KNN index.
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Introducing TypeChat from Microsoft
I've written a version of this in Golang: https://github.com/stillmatic/gollum/blob/main/dispatch.go
```go
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FANN: Vector Search in 200 Lines of Rust
I have gotten 10x speedups with SIMD on modern hardware. Goroutines make this actually fairly tricky, as you essentially have to process all the events and then sort the entire array, which is usually the bottleneck. The heap adds a small amount of complexity but is significantly more efficient, feels like good ROI.
https://github.com/stillmatic/gollum/blob/main/vectorstore.g...
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
What are some alternatives?
CopilotKit - Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps. [Moved to: https://github.com/CopilotKit/CopilotKit]
usearch - Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
ts-patch - Augment the TypeScript compiler to support extended functionality
fann - Approx nearest neighbor search in Rust
ai-agents-laravel - Build AI Agents for popular LLMs quick and easy in Laravel
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
TypeChat - TypeChat is a library that makes it easy to build natural language interfaces using types.
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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.
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.
shelby_as_a_service - Production-ready LLM Agents. Just add API keys