GraphRAG

An end-to-end system that integrates text extraction, network analysis, and large language model prompting and summarization

CommonProductProgrammingArtificial IntelligenceNatural Language Processing

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GraphRAG (Graphs + Retrieval Augmented Generation) is a technology that enhances the understanding of textual datasets by combining text extraction, network analysis, and prompts and summaries from large language models (LLM). Set to be open-sourced on GitHub as part of Microsoft's research projects, this technology aims to enhance the processing and analysis capabilities of textual data through advanced algorithms.

Text Extraction: Extract valuable information from a large amount of data
Network Analysis: Perform structured data analysis to build knowledge graphs
LLM Prompting: Utilize large language models to enhance textual understanding and generation capabilities
End-to-End System: Provide a complete solution from data input to output
Preprint Reading: Offer preprint reading of research papers
Open Source Implementation: To be launched on GitHub for community use and contributions
Feedback and Support: Provide feedback and answer questions through email

Researchers: Utilize GraphRAG for complex textual data analysis
Data Scientists: Explore data associations by constructing knowledge graphs
Developers: Integrate GraphRAG into your applications to enhance product intelligence
Educators: Use in teaching to help students understand complex textual and data structures

In academic research
it is used to analyze academic papers and construct knowledge graphs for research fields
In business intelligence
it helps enterprises extract key information from large amounts of text reports
In the educational field

Step 1: Visit the GraphRAG GitHub page to learn about the project background and features
Step 2: Read the preprint paper to understand the technical details of GraphRAG
Step 3: According to the documentation
download and install the open-source implementation of GraphRAG
Step 4: Prepare the textual dataset to be processed

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Bounce Rate

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GraphRAG

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Ai2 OpenScholar — Enhanced retrieval-based language model for scientific literature.

Llama-3.1-Tulu-3-8B — An advanced instruction-following model that provides open-source data and code.

Tencent-Hunyuan-Large — Industry-leading open-source large mixture-of-experts model

Knowledge Table — An open-source tool that simplifies the extraction and exploration of structured data from unstructured documents.

Awesome ChatGPT Prompts — A collection of prompts for interacting with the ChatGPT model

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

fact-finder — An intelligent question-answering system based on knowledge graphs.

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

Q-RWKV-6 32B Instruct Preview — The most powerful variant of the RWKV model, breaking multiple English benchmark tests.

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OLMo-2-1124-7B-RM — A large language model for text generation and classification.

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OLMo-2-1124-13B-DPO — High-performance English language model suitable for diverse tasks.

ProactiveAgent — A proactive agent based on large language models that predicts user needs and offers assistance.

OLMo 2 7B — A large language model with 7 billion parameters, enhancing natural language processing capabilities.

Llama-3.1-Tulu-3-8B-RM — An advanced instruction-following model providing comprehensive guidance on post-training techniques.

OLMo 2 — State-of-the-art fully open language model

Llama-3.1-Tulu-3-70B-SFT — A leading family of instruction-following models, offering open-source data, code, and guidelines.

Llama-3.1-Tulu-3-8B-DPO — An advanced text generation model that supports diverse tasks.

playwright-ai — An AI tool for Playwright testing using the Anthropic API.

Qwen Turbo 1M Demo — The Qwen Turbo 1M Demo is a Hugging Face space provided by Qwen.

LLaMA-Mesh — Unified 3D Mesh Generation with Language Models

Lingma SWE-GPT — An open-source large language model specifically designed for software improvement.

InkSight — Handwritten note digitization model that does not require specialized equipment.

Magentic-One — Multi-agent system for solving complex tasks