{"data":{"node":{"slug":"jxzhangjhu-awesome-llm-rag","name":"Awesome-LLM-RAG","tagline":"a curated list of advanced retrieval augmented generation (RAG) in Large Language Models","github_url":"https://github.com/jxzhangjhu/Awesome-LLM-RAG","owner":"jxzhangjhu","repo":"Awesome-LLM-RAG","owner_avatar_url":"https://avatars.githubusercontent.com/u/19910910?v=4","primary_language":null,"stars":1338,"forks":86,"topics":["embeddings","large-language-models","llm","rag","rag-embeddings","retrieval-augmented-generation","retrieval-information"],"archived":false,"github_pushed_at":"2026-06-15T18:27:39+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/jxzhangjhu-awesome-llm-rag","markdown_url":"https://www.graphcanon.com/tools/jxzhangjhu-awesome-llm-rag.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jxzhangjhu-awesome-llm-rag","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jxzhangjhu-awesome-llm-rag"},"categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"embeddings","name":"embeddings"},{"slug":"large-language-models","name":"large-language-models"},{"slug":"llm","name":"llm"},{"slug":"rag","name":"rag"},{"slug":"rag-embeddings","name":"rag-embeddings"},{"slug":"retrieval-augmented-generation","name":"retrieval-augmented-generation"},{"slug":"retrieval-information","name":"retrieval-information"}],"edges":[],"neighbours":[{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":84818,"forks":9905,"topics":["agentic-ai","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-management","llm-apps","rag","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-07-11T15:38:22+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow","shared_categories":["data-retrieval"]},{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":59068,"forks":1432,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app","shared_categories":["llm-frameworks","data-retrieval"]},{"slug":"patchy631-ai-engineering-hub","name":"ai-engineering-hub","tagline":"Tutorials on LLMs, RAGs, and real-world AI agent applications","github_url":"https://github.com/patchy631/ai-engineering-hub","owner":"patchy631","repo":"ai-engineering-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/38653995?v=4","primary_language":"Jupyter Notebook","stars":36439,"forks":6039,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-06-08T11:18:11+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub","markdown_url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/patchy631-ai-engineering-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=patchy631-ai-engineering-hub","shared_categories":["llm-frameworks"]},{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":28465,"forks":3470,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-07-04T12:53:20+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques","shared_categories":["data-retrieval"]},{"slug":"cinnamon-kotaemon","name":"kotaemon","tagline":"An open-source RAG-based tool for chatting with your documents.","github_url":"https://github.com/Cinnamon/kotaemon","owner":"Cinnamon","repo":"kotaemon","owner_avatar_url":"https://avatars.githubusercontent.com/u/3265185?v=4","primary_language":"Python","stars":25534,"forks":2123,"topics":["chatbot","llms","open-source","rag"],"archived":false,"github_pushed_at":"2026-06-09T09:55:55+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/cinnamon-kotaemon","markdown_url":"https://www.graphcanon.com/tools/cinnamon-kotaemon.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cinnamon-kotaemon","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cinnamon-kotaemon","shared_categories":["data-retrieval"]},{"slug":"tencent-weknora","name":"WeKnora","tagline":"Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.","github_url":"https://github.com/Tencent/WeKnora","owner":"Tencent","repo":"WeKnora","owner_avatar_url":"https://avatars.githubusercontent.com/u/18461506?v=4","primary_language":"Go","stars":18122,"forks":2479,"topics":["agent","agentic","ai","chatbot","embeddings","evaluation","generative-ai","golang","knowledge-base","llm","multi-tenant","multimodel","ollama","openai","question-answering","rag","reranking","semantic-search","vector-search","wiki"],"archived":false,"github_pushed_at":"2026-07-11T04:21:56+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/tencent-weknora","markdown_url":"https://www.graphcanon.com/tools/tencent-weknora.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tencent-weknora","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tencent-weknora","shared_categories":["llm-frameworks"]},{"slug":"future-house-paper-qa","name":"paper-qa","tagline":"High accuracy RAG for answering questions from scientific documents with citations","github_url":"https://github.com/Future-House/paper-qa","owner":"Future-House","repo":"paper-qa","owner_avatar_url":"https://avatars.githubusercontent.com/u/131727825?v=4","primary_language":"Python","stars":8848,"forks":887,"topics":["ai","rag","science","search"],"archived":false,"github_pushed_at":"2026-06-29T06:41:57+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/future-house-paper-qa","markdown_url":"https://www.graphcanon.com/tools/future-house-paper-qa.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/future-house-paper-qa","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=future-house-paper-qa","shared_categories":["data-retrieval"]},{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8668,"forks":924,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-07-10T03:54:42+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources","shared_categories":["llm-frameworks"]},{"slug":"woooodyy-llm-agent-paper-list","name":"LLM-Agent-Paper-List","tagline":"The paper list of the 86-page SCIS cover paper \"The Rise and Potential of Large Language Model Based Agents: A Survey\" by Zhiheng Xi et al.","github_url":"https://github.com/WooooDyy/LLM-Agent-Paper-List","owner":"WooooDyy","repo":"LLM-Agent-Paper-List","owner_avatar_url":"https://avatars.githubusercontent.com/u/48242229?v=4","primary_language":null,"stars":8159,"forks":492,"topics":["agent","large-language-models","llm","nlp","survey"],"archived":false,"github_pushed_at":"2025-09-12T03:08:58+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/woooodyy-llm-agent-paper-list","markdown_url":"https://www.graphcanon.com/tools/woooodyy-llm-agent-paper-list.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/woooodyy-llm-agent-paper-list","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=woooodyy-llm-agent-paper-list","shared_categories":["llm-frameworks"]},{"slug":"zilliztech-deep-searcher","name":"deep-searcher","tagline":"Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.","github_url":"https://github.com/zilliztech/deep-searcher","owner":"zilliztech","repo":"deep-searcher","owner_avatar_url":"https://avatars.githubusercontent.com/u/18416694?v=4","primary_language":"Python","stars":7941,"forks":768,"topics":["agent","agentic-rag","claude","deep-research","deepseek","deepseek-r1","grok","grok3","llama4","llm","milvus","openai","qwen3","rag","reasoning-models","vector-database","zilliz"],"archived":false,"github_pushed_at":"2025-11-19T06:04:16+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/zilliztech-deep-searcher","markdown_url":"https://www.graphcanon.com/tools/zilliztech-deep-searcher.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zilliztech-deep-searcher","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zilliztech-deep-searcher","shared_categories":["llm-frameworks"]},{"slug":"sciphi-ai-r2r","name":"R2R","tagline":"SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.","github_url":"https://github.com/SciPhi-AI/R2R","owner":"SciPhi-AI","repo":"R2R","owner_avatar_url":"https://avatars.githubusercontent.com/u/148402514?v=4","primary_language":"Python","stars":7926,"forks":644,"topics":["artificial-intelligence","large-language-models","python","question-answering","rag","retrieval-augmented-generation","retrieval-systems","search"],"archived":false,"github_pushed_at":"2025-11-07T01:02:44+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/sciphi-ai-r2r","markdown_url":"https://www.graphcanon.com/tools/sciphi-ai-r2r.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sciphi-ai-r2r","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sciphi-ai-r2r","shared_categories":["llm-frameworks","data-retrieval"]},{"slug":"luhengshiwo-llmforeverybody","name":"LLMForEverybody","tagline":"每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈","github_url":"https://github.com/luhengshiwo/LLMForEverybody","owner":"luhengshiwo","repo":"LLMForEverybody","owner_avatar_url":"https://avatars.githubusercontent.com/u/13251733?v=4","primary_language":"Jupyter Notebook","stars":6920,"forks":643,"topics":["agent","interview-practice","interview-questions","learnllm","llm","rag"],"archived":false,"github_pushed_at":"2026-05-31T06:44:22+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody","markdown_url":"https://www.graphcanon.com/tools/luhengshiwo-llmforeverybody.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luhengshiwo-llmforeverybody","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luhengshiwo-llmforeverybody","shared_categories":["llm-frameworks"]}]}}