Gold IV
1,541 Elo
- #4,577 on the ladder
- +5 today · +27 this week
- Peak 1,545
Retrieval and Retrieval-augmented LLMs
FlagOpen/FlagEmbedding is #4,577 on the bestofgithub Elo ladder, in Gold IV, with a rating of 1,541 (+27 this week). It has 12,324 stars, 20 gained in the last week.
1,541 Elo
12,324
git clone https://github.com/FlagOpen/FlagEmbedding.git💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
git clone https://github.com/neuml/txtai.git📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
git clone https://github.com/VectifyAI/PageIndex.gitOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
pip install haystack-aiThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
git clone https://github.com/NirDiamant/RAG_Techniques.git"RAG-Anything: All-in-One RAG Framework"
pip install raganythingLoading README…