Stars
Linguistic search for large annotated text corpora, based on Apache Lucene
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
⭐️ A friendly language for building type-safe, scalable systems!
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
OCR model that handles complex tables, forms, handwriting with full layout.
Get your documents ready for gen AI
Build reliable Gen AI solutions without overhead 🍕
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
Microsoft BASIC for 6502 Microprocessor - Version 1.1
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal d…
Large Concept Models: Language modeling in a sentence representation space
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
Translate large dataset to any language with google translation api and multithreads processing, no key required!
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
Papers from the computer science community to read and discuss.
📚 Freely available programming books
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome-LLM: a curated list of Large Language Model
Summarize existing representative LLMs text datasets.
Repository for VisualSem: a high-quality knowledge graph to support research in vision and language.
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes