usearch VS Weaviate

Might have a look at this library:

https://github.com/unum-cloud/usearch

It does HNSW and there is a SQLite related project, though not quite the same thing.

Another worth mentioning in this thread is usearch, though not a separate algorithm, based on HNSW with a bunch of optimizations https://github.com/unum-cloud/usearch

I've used usearch successfully for a small project: https://github.com/unum-cloud/usearch/

The hardest (still missing) part of efficient cosine computation distance computation is picking a good epsilon for the `sqrt` calculation and avoiding "division by zero" problems.

We have an open issue about it in USearch and a related one in SimSIMD itself, so if you have any suggestions, please share your insights - they would impact millions of devices using the library (directly on servers and mobile, and through projects like ClickHouse and some of the Google repos): https://github.com/unum-cloud/usearch/issues/320

As you scale, you may benefit from these two projects I maintain, and the Big Tech uses :)

https://github.com/unum-cloud/usearch - for faster search

https://github.com/unum-cloud/uform - for cheaper multi-lingual multi-modal embeddings

> It doesn't appear to query CPUID

Yes, I'm actually looking for a good way to do it for other projects as well. I've looked into a couple more libs, and here is the best I've come up with so far: https://github.com/unum-cloud/usearch/blob/f942b6f334b31716f...

> Your substring routines have multiplicative worst case

Yes, that is true. It's a very simple stupid trick, just happens to work well for me :)

> It seems quite likely that your confirmation step

We have a different library internally at Unum, that avoids this shortcoming. It has a few thousand lines of C++ templates with SIMD intrinsics... and it's definitely more efficient, but the margins aren't always high. So I kept the pure C version with inlined functions as minimal and simple as possible.

> It would actually be possible to hook Stringzilla up to `memchr`'s benchmark suite if you were interested. :-)

Yes, that would be a fun thing to do! I haven't had time to look into `memchr` yet, but would expect great perf from your lib as well. For me the State of the Art is Intel HyperScan. Probably the most advanced SIMD library overall, not just for strings. I was very impressed with their perf ~5 years ago. But the repo is 200 K LOC... So get ready to invest a weekend :)

That said, I'm a bit slammed with work right now, including open-source. Hoping to ship a new major release in UCall this week, and a minor one in USearch :)

In this tutorial, I introduce Weaviate, an open-source vector database, with the thenlper/gte-base embedding model from Alibaba, through Hugging Face's transformers library.

This will be solved in Weaviate https://github.com/weaviate/weaviate/issues/2424

Link to GitHub -->

Hey @rvrs, I work on Weaviate and we are doing some improvements around increasing write throughput:

1. gRPC. Using gRPC to write vectors has had a really nice performance boost. It is released in Weaviate core but here is still some work on do on the clients. Feel free to get in contact if you would like to try it out.

2. Parameter tuning. lowering `efConstruction` can speed up imports.

3. We are also working on async indexing https://github.com/weaviate/weaviate/issues/3463 which will further speed things up.

In comparison with pgvector, Weaviate has more flexible query options such as hybrid search and quantization to save memory on larger datasets.