graphrag
Knowledge Graph Booster
Enhances large language models with knowledge graph information to improve text reasoning and generation capabilities.
A modular graph-based Retrieval-Augmented Generation (RAG) system
21k stars
144 watching
2k forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
gptgpt-4gpt4graphragllmllmsrag
Related projects:
Repository | Description | Stars |
---|---|---|
| Automates the process of finding and optimizing an effective pipeline for Retrieval-Augmented Generation (RAG) models. | 2,960 |
| Converts unstructured natural language into a visual representation of entities and their relationships. | 4,354 |
| A framework for efficient and optimized retrieval augmented generative pipelines using state-of-the-art LLMs and Information Retrieval. | 1,392 |
| Provides pre-built AI application templates to integrate Large Language Models (LLMs) with various data sources for scalable RAG and enterprise search. | 7,426 |
| A graph database designed for real-time analytics and stream processing. | 2,520 |
| A system for using deep learning to answer questions based on knowledge graphs | 225 |
| A library that extends Spring Data to support Graph databases and enables the use of Gremlin queries and operations on graph data | 69 |
| An AI orchestration framework to build customizable LLM applications with advanced retrieval methods. | 18,094 |
| A tool for making GraphQL queries with features like autocomplete and subscription support. | 3,345 |
| Enables direct querying and processing of GraphSense data within Maltego | 24 |
| A package for learning large-scale knowledge graph embeddings with high performance and scalability | 1,277 |
| An Azure AD information gathering tool over Microsoft Graph using PowerShell | 80 |
| A tutorial and resource center for Gremlin and Apache TinkerPop graph databases | 835 |
| A framework for building enterprise LLM-based applications using small, specialized models | 8,303 |
| An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |