#FastGraphRAG

2024-11-19

🔍 Revolutionary Knowledge Retrieval Framework Takes GraphRAG to the Next Level 🧠

🚀 #FastGraphRAG introduces streamlined, agent-driven retrieval with proven results:
• 6x cost reduction compared to standard #GraphRAG ($0.08 vs $0.48 on test dataset)
• Built for scale with minimal resource requirements
• Full async support and comprehensive type system

🛠️ Key Technical Features:
• Real-time graph updates for dynamic data handling
#PageRank-based exploration for enhanced accuracy
• Python 3.10.1+ compatibility
• MIT licensed #opensource framework

💡 Core Capabilities:
• Human-navigable knowledge visualization
• Automatic graph generation and refinement
• Seamless integration with existing retrieval pipelines
• Complete debugging and interpretation tools

🔧 Implementation Options:
• Available via PyPI installation
• Source code access on #GitHub
• Managed service option with 100 free monthly requests

github.com/circlemind-ai/fast-

王永帥🍥yongshuai1013
2024-11-08

一個更快、成本更低GraphRAG框架:Fast GraphRAG

使用The Wizard of Oz測試, fast-graphrag成本是0.08 美元,graphrag是0.48 美元,減少了6倍

它使用PageRank算法進行精準檢索,可快速定位相關資訊

支持即時添加新數據,自動更新知識圖譜,可以根據使用場景動態調整

具備可視化和解釋能力,將知識以圖的形式展示,提供可追溯的查詢路徑

支持本地部署

專案地址: github.com/circlemind-ai/fast-graphrag

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst