🚀 txtai 9.12 is here!
This release adds support for new ANN backends along with a bonanza of bug fixes from 7 new contributors. 🎉
Highlights:
✨ Support for the zvec vector backend
✨ Embedded milvus-lite dense ANN backend
✨ Option to disable API routes
Plus improvements
Did you know that txtai supports a zero-dependency install?
With txtai-minimal, the framework gracefully handles missing dependencies, giving you complete control over what gets installed. Only add the packages you need, nothing more.
This makes it easier to build lightweight
Great TxtAI milestones over the last couple of weeks! 🎉
✅ 2000+ total commits
✅ 18 PRs merged
✅ 6 new contributors
Thanks to everyone who contributed code, reviews, bug reports, and ideas. Community contributions continue to make TxtAI stronger with every release.
H.G. BERT is powered by the Historical English Books dataset, a curated collection of 50,000+ books spanning general literature, math, science, philosophy and religion from the late 1800s.
By training on this rich historical corpus, H.G. BERT captures the language, writing
The year is 1899. It's still a horse and buggy world. Einstein hasn't published his famous annus mirabilis papers setting the foundation for Physics as we understand it today. The world is advancing at a rapid pace roaring into the 1900s. What if AI models were trained in 1899
