🔥 Trending Repository: milvus

📝 Description: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

🔗 Repository URL: https://github.com/milvus-io/milvus

🌐 Website: https://milvus.io

📖 Readme: https://github.com/milvus-io/milvus#readme

📊 Statistics:
🌟 Stars: 37.1K stars
👀 Watchers: 313
🍴 Forks: 3.4K forks

💻 Programming Languages: Go - Python - C++ - Shell - Groovy - C

🏷️ Related Topics:

#golang #distributed #nearest_neighbor_search #cloud_native #image_search #vector_similarity #faiss #anns #rag #hnsw #vector_search #vector_database #llm #embedding_database #embedding_store #vector_store #embedding_similarity #diskann

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: WeKnora

📝 Description: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

🔗 Repository URL: https://github.com/Tencent/WeKnora

🌐 Website: https://weknora.weixin.qq.com

📖 Readme: https://github.com/Tencent/WeKnora#readme

📊 Statistics:
🌟 Stars: 6.8K stars
👀 Watchers: 43
🍴 Forks: 778 forks

💻 Programming Languages: Go - Vue - Python - TypeScript - Shell - Less

🏷️ Related Topics:

#agent #golang #multi_tenant #ai #chatbot #evaluation #embeddings #openai #question_answering #chatbots #knowledge_base #semantic_search #reranking #multimodel #rag #vector_search #llm #generative_ai #agentic #ollama

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: LEANN

📝 Description: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

🔗 Repository URL: https://github.com/yichuan-w/LEANN

📖 Readme: https://github.com/yichuan-w/LEANN#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 34
🍴 Forks: 403 forks

💻 Programming Languages: Python

🏷️ Related Topics:

#python #privacy #ai #offline_first #localstorage #vectors #faiss #rag #vector_search #vector_database #llm #langchain #llama_index #retrieval_augmented_generation #ollama #gpt_oss

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🧠 By: https://t.iss.one/DataScienceM