NeuML

This 970K parameter model retains 98% of the performance of the original 110M medical embeddings model. huggingface.co/NeuML/biomedbe…

Want a solid medical literature re-ranker model? Then check this out! huggingface.co/NeuML/biomedbe…

Want a late interaction medical vector model? Then check this out! huggingface.co/NeuML/biomedbe…

TxtAI has embeddings databases, pipelines, agents and workflows. One little known but powerful feature of TxtAI is that it can export any of it's functionality as an OpenAI endpoint. Check out this example for now. github.com/neuml/txtai/bl…

Our PubMedBERT embeddings model is the most downloaded open model for medical vector embeddings. Over 1M downloads this month! huggingface.co/NeuML/pubmedbe…

One of the most accessed notebooks on TxtAI's GitHub page covers the Semantic Graph. TxtAI can automatically build a graph of related nodes using it's vector similarity model. Learn more here. github.com/neuml/txtai/bl…

🚀 TxtAI v9.7 is out with the new Coding Agent Toolkit! Release Notes: github.com/neuml/txtai/re… github.com/neuml/txtai

Deep dive into the new TxtAI Agents Toolkit. It's worth the watch if you care about Local AI. youtube.com/watch?v=RDNaFX…

🚀 Check out this new notebook that covers the txtai agent toolkit. From the powerful read tool that can read text from many files including DOCX, PDF, HTML and more. The edit tool which updates and shows diff changes. Web search, planning, find, bash, grep and more. These can all be paired with embeddings search as well as the OS. On the verge of a very powerful local AI productivity and development platform. colab.research.google.com/github/neuml/t…

💥 Coming to TxtAI next release: A full coding toolkit with its agent framework. What makes this special is that you can also integrate specialized knowledge via local embeddings databases, pipelines and workflows. The read tool doesn't just simply read files. It also supports extracting text so you can "read" PDFs DOCs and more! TxtAI aims to be the best framework for local AI. github.com/neuml/txtai/is…

TxtAI has long been a big proponent of a "local-first" strategy. It's a framework that enables RAG, Agents, LLM Inference, Vector Search, Training and more, all from your own device. While going with an API service initially appears easier, having control of your data and your models will become increasingly important. It allows you to fully customize how AI integrates with your business. If you outsource this, you have no competitive advantage. You're just using the same old boring models everyone else is using. Perhaps you'll be begging the AI service to let you do something they don't want you to do. github.com/neuml/txtai

⭐ TxtAI 9.6 is out with 4 new contributors! 9.6 adds many great new Embeddings database features: BB25 normalization, ngram tokenization, database expression indexes and conditional JSON data storage. Release Notes: github.com/neuml/txtai/re… GitHub: github.com/neuml/txtai

Exciting to have 3 new contributors with the next TxtAI release!

Fun opensource colab. github.com/neuml/txtai/is…

⚡ One minute overview on how to build a RAG pipeline with a directory of your files. youtube.com/watch?v=dTC4af…

Want something like OpenClaw that integrates with Rocket.Chat or MatterMost? Then check out txtchat! Go all in on Local AI not halfway. github.com/neuml/txtchat

paperai is an AI application for medical and scientific papers. It goes through repositories of articles and generates bulk answers to questions backed by Large Language Model (LLM) prompts and Retrieval Augmented Generation (RAG) pipelines. Example Notebook for young-onset colorectal cancer: github.com/neuml/paperai/… GitHub: github.com/neuml/paperai

⚡ txtchat 0.4: build your own local chat assistants with AI superpowers. It's not OpenClaw but maybe that's a good thing! github.com/neuml/txtchat

🚀 TxtAI 9.5 is out and we got skills! This release adds a lot of great new agent capabilities: agents.md, skill.md and memory for local AI. Release Notes: github.com/neuml/txtai/re… github.com/neuml/txtai

This post was the one that started it all for TxtAI...all the way back in 2020. We like to think that this helped inspire a lot of what we have today. reddit.com/r/Python/comme…