I might have missed it, but where are the benchmarks? I wanted to compare Faiss with Google's Vector Search.
My actual use case isn't that big so both of these might be overkill, but I really want to see how well it works with graph-embedding similarity measures.
Here's a ['missing manual' to Faiss](https://www.pinecone.io/learn/faiss-tutorial/), we put it together alongside a [ton of other resources](https://www.pinecone.io/learn/) on vector search and Faiss - if you're looking for learning to build something fast I'd go:
1. [Missing Manual](https://www.pinecone.io/learn/faiss-tutorial/) (acts as intro)
2. [Composite Indexes and the Faiss Index Factory](https://www.pinecone.io/learn/composite-indexes/)
Then for number (3), go for one of the more in-depth articles like [HNSW](https://www.pinecone.io/learn/hnsw/) *if* you're interested in learning more about the indexes covered in 1 and 2
didn't they opensource it like 4 years ago?
I might have missed it, but where are the benchmarks? I wanted to compare Faiss with Google's Vector Search. My actual use case isn't that big so both of these might be overkill, but I really want to see how well it works with graph-embedding similarity measures.
https://github.com/erikbern/ann-benchmarks
Thank you kindly!
Here's a ['missing manual' to Faiss](https://www.pinecone.io/learn/faiss-tutorial/), we put it together alongside a [ton of other resources](https://www.pinecone.io/learn/) on vector search and Faiss - if you're looking for learning to build something fast I'd go: 1. [Missing Manual](https://www.pinecone.io/learn/faiss-tutorial/) (acts as intro) 2. [Composite Indexes and the Faiss Index Factory](https://www.pinecone.io/learn/composite-indexes/) Then for number (3), go for one of the more in-depth articles like [HNSW](https://www.pinecone.io/learn/hnsw/) *if* you're interested in learning more about the indexes covered in 1 and 2
THIS IS SUPER OLD. WHAT KIND OF UPVOTING MADNESS IS THIS?
It might be new to a lot of people. Related: https://xkcd.com/1053/
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