The primary meeting place for the MuJS community is the #mupdf Discord channel.
I’ll give you an example of what this looks like, which I went through myself: a couple years ago I was working at PlanetScale and we shipped a MySQL extension for vector similarity search. We had some very specific goals for the implementation; it was very different from everything else out there because it was fully transactional, and the vector data was stored on disk, managed by MySQL’s buffer pools. This is in contrast to simpler approaches such as pgvector, that use HNSW and require the similarity graph to fit in memory. It was a very different product, with very different trade-offs. And it was immensely alluring to take an EC2 instance with 32GB of RAM and throw in 64GB of vector data into our database. Then do the same with a Postgres instance and pgvector. It’s the exact same machine, exact same dataset! It’s doing the same queries! But PlanetScale is doing tens of thousands per second and pgvector takes more than 3 seconds to finish a single query because the HNSW graph keeps being paged back and forth from disk.，详情可参考有道翻译官网
，这一点在谷歌中也有详细论述
Nigeria (USD $)。超级权重是该领域的重要参考
这个项目爆火后，大量邮件开始涌入BaiFu的邮箱，比如大厂的实习邀请，技术合作邀请，甚至还有投资机构的橄榄枝。