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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better fast_vector_similarity alternative or higher similarity.
fast_vector_similarity reviews and mentions
Posts with mentions or reviews of fast_vector_similarity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-07.
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SentenceTransformers: Python framework for sentence, text and image embeddings
Yes, check out my library for vector similarity that has various other measures which are more discriminative:
https://github.com/Dicklesworthstone/fast_vector_similarity
pip install fast_vector_similarity
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Show HN: Neum AI – Open-source large-scale RAG framework
Got it. I'd encourage you to expose more of that functionality at the level of your application if possible. I think there is a lot of potential in using more than just cosine similarity, especially when there are lots of candidates and you really want to sharpen up the top few recommendations to the best ones. You might find this open-source library I made recently useful for that:
https://github.com/Dicklesworthstone/fast_vector_similarity
I've had good results from starting with cosine similarity (using FAISS) and then "enriching" the top results from that with more sophisticated measures of similarity from my library to get the final ranking.
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Some Reasons to Avoid Cython
You can see how I did something similar in my library here:
https://github.com/Dicklesworthstone/fast_vector_similarity/...
Basically you use ndarray instead of numpy, try to vectorize anything you can, and for the for loops that can’t be vectorized, you can use rayon to do them in parallel.
- FLaNK Stack Weekly 28 August 2023
- Fast Vector Similarity Library, Useful for Working With Llama2 Embedding Vectors
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Show HN: Fast Vector Similarity Using Rust and Python
Yeah, like the other commenter said, everything is in this file here:
https://github.com/Dicklesworthstone/fast_vector_similarity/...
If you also make your project using Rust and Maturin, you can literally just copy and paste that into your project because it's totally generic, and if the repo is public, GitHub will just run it all for you for free.
The only thing is you need to create an account on PyPi (pip) and add 2-Factor Auth so you can generate an API key. Then you go into the repo settings and go to secrets, and create a Github Actions secret with the name PYPI_API_TOKEN and make the value your PyPi token. That's it! It will not only compile all the wheels for you but even upload the project to PyPi for you using the settings found in your pyproject.toml file, like this:
https://github.com/Dicklesworthstone/fast_vector_similarity/...
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
Stats
Basic fast_vector_similarity repo stats
7
324
7.2
8 months ago
The primary programming language of fast_vector_similarity is Rust.
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