🔥 Trending Repository: LightRAG

📝 Description: [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

🔗 Repository URL: https://github.com/HKUDS/LightRAG

🌐 Website: https://arxiv.org/abs/2410.05779

📖 Readme: https://github.com/HKUDS/LightRAG#readme

📊 Statistics:
🌟 Stars: 22.6K stars
👀 Watchers: 162
🍴 Forks: 3.4K forks

💻 Programming Languages: Python - TypeScript - Shell - JavaScript - CSS - Dockerfile

🏷️ Related Topics:

#knowledge_graph #gpt #rag #gpt_4 #large_language_models #llm #genai #retrieval_augmented_generation #graphrag

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: ragflow

📝 Description: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

🔗 Repository URL: https://github.com/infiniflow/ragflow

🌐 Website: https://ragflow.io

📖 Readme: https://github.com/infiniflow/ragflow#readme

📊 Statistics:
🌟 Stars: 69.3K stars
👀 Watchers: 310
🍴 Forks: 7.5K forks

💻 Programming Languages: Python - TypeScript - Less - Shell - HTML - CSS

🏷️ Related Topics:

#agent #ai #deep_learning #mcp #multi_agent #openai #document_parser #ai_search #rag #document_understanding #llm #agentic #retrieval_augmented_generation #ollama #deepseek #graphrag #agentic_workflow #agentic_ai #deepseek_r1 #deep_research

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: cognee

📝 Description: Memory for AI Agents in 6 lines of code

🔗 Repository URL: https://github.com/topoteretes/cognee

🌐 Website: https://www.cognee.ai

📖 Readme: https://github.com/topoteretes/cognee#readme

📊 Statistics:
🌟 Stars: 11.7K stars
👀 Watchers: 59
🍴 Forks: 1.2K forks

💻 Programming Languages: Python - TypeScript - Shell - Dockerfile - CSS - Mako

🏷️ Related Topics:

#open_source #ai #knowledge #neo4j #knowledge_graph #openai #help_wanted #graph_database #ai_agents #contributions_welcome #cognitive_architecture #good_first_issue #rag #good_first_pr #vector_database #graph_rag #ai_memory #cognitive_memory #graphrag #context_engineering

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🧠 By: https://t.me/DataScienceM