Microsoft has introduced GraphRAG, a tool designed to enhance the exploration of complex datasets by generating a knowledge graph from text documents. This innovation is now available on GitHub, allowing users to engage in structured information retrieval and complex data discovery. Additionally, Cohere has updated its Command-R and Command-R+ models, improving multilingual capabilities, structured data analysis, and decision-making processes for enterprise clients. The updates aim to boost performance in coding, math, and reasoning, addressing the competitive landscape in AI. Furthermore, an open-source RAG tool called Kotaemon has gained popularity on GitHub, featuring a customizable user interface for document question-answering, support for local language models, and a hybrid retrieval pipeline. This tool is noted for its ability to facilitate multi-modal question answering and has been trending as a leading resource for document QA solutions.
English: 🚀 An open-source RAG tool is trending on GitHub! It offers advanced document QA with local LLMs, hybrid retrieval, and multi-modal QA 🖼️📊. Features include customizable UI, detailed citations, and multi-user hosting. Japanese: 🚀… https://t.co/Re4gWI5o3y
This open-source RAG tool for chatting with your documents is Trending at Number-1 in Github from the past few days 🔍 Open-source RAG UI for document QA 🛠️ Supports local LLMs and API providers 📊 Hybrid RAG pipeline with full-text & vector retrieval 🖼️ Multi-modal QA with… https://t.co/mILaqK2veE
Kotaemon - An open-source clean & customizable RAG UI, built with Gradio, for chatting with your docs 📝 - Host your own Document QA Web-UI - Organize your LLM & Embedding Models - Hybrid RAG Pipeline for top-tier retrieval Try it on Hugging Face or install locally! #Kotaemon… https://t.co/lyO9S7LaGP