NeuML ORG

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Txtai is a Python library for building search systems that find content by meaning rather than keywords, and for chaining AI tasks like summarizing, translating, and answering questions on your own data without sending it to the cloud.

📄 🤖 AI for medical and scientific papers

📄 ⚙️ ETL processes for medical and scientific papers

🔎 Semantic search for developers

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

📝 Automatically annotate papers using LLMs

📊 Semantic search for headlines and story text

⚡ Local chat assistants with AI superpowers

📚 Datasets and models for instruction-tuning

JavaScript client for txtai

Rust client for txtai

🖍️ Highlight text in documents

Go client for txtai

COVID-19 Open Research Dataset (CORD-19) Analysis

Java client for txtai

🔢 Work with static vector models

📚 Build knowledge bases for RAG

💫 Open-Source AI coding agent that integrates with Jupyter Notebooks

Generate time-lapse video for a website

Python 2.7 hashing and iteration in Python 3+

Python client for txtai

Tokenizer for Text to Speech (TTS) models

Magnitude fork that only supports Word2Vec, GloVe and fastText embeddings

🏈 Fact-driven, real-time sports event and news site

MLflow automatic tracing for txtai

Run Kaggle kernel pipeline jobs

Generated papers

Example Weaviate integration with txtai

Default community files for all NeuML projects

Python bindings for ggml. Fork of the original project to use the latest version of ggml.

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)