{"data":{"node":{"slug":"run-llama-rags","name":"rags","tagline":"Build ChatGPT over your data with natural language","github_url":"https://github.com/run-llama/rags","owner":"run-llama","repo":"rags","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":6549,"forks":656,"topics":["agent","chatbot","chatgpt","gpts","llamaindex","llm","openai","rag","streamlit"],"archived":false,"github_pushed_at":"2024-04-05T05:36:59+00:00","maintenance_label":"Dormant","stars_delta_30d":6,"url":"https://www.graphcanon.com/tools/run-llama-rags","markdown_url":"https://www.graphcanon.com/tools/run-llama-rags.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-rags","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-rags"},"categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"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"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"chatbot","name":"chatbot"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"llm","name":"llm"},{"slug":"openai","name":"openai"},{"slug":"rag","name":"rag"},{"slug":"streamlit","name":"streamlit"}],"edges":[{"type":"alternative","direction":"out","explanation":"Both RAGs and botpress are focused on the development of chatbots and agents, including those powered by GPT/LLMs.","successor_context":null,"tool":{"slug":"botpress-botpress","name":"botpress","tagline":"The open-source hub to build & deploy GPT/LLM Agents","github_url":"https://github.com/botpress/botpress","owner":"botpress","repo":"botpress","owner_avatar_url":"https://avatars.githubusercontent.com/u/23510677?v=4","primary_language":"TypeScript","stars":14869,"forks":2294,"topics":["agent","ai","botpress","chatbot","chatgpt","gpt","gpt-4","langchain","llm","nlp","openai","prompt"],"archived":false,"github_pushed_at":"2026-08-14T20:49:50+00:00","maintenance_label":"Very active","stars_delta_30d":85,"url":"https://www.graphcanon.com/tools/botpress-botpress","markdown_url":"https://www.graphcanon.com/tools/botpress-botpress.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/botpress-botpress","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=botpress-botpress"}},{"type":"alternative","direction":"out","explanation":"Both RAGs and Kotaemon allow users to chat over a set of documents using retrieval-augmented generation techniques, with the primary difference being their interface and scope.","successor_context":null,"tool":{"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":25701,"forks":2141,"topics":["chatbot","llms","open-source","rag"],"archived":false,"github_pushed_at":"2026-07-14T16:53:59+00:00","maintenance_label":"Steady","stars_delta_30d":138,"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"}},{"type":"related","direction":"out","explanation":"Both RAGs and LangChain focus on agent engineering platforms, but serve distinct goals. LangChain is geared toward developing AI agents, whereas RAGs offer a complete solution for building a RAG pipeline.","successor_context":null,"tool":{"slug":"langchain-ai-langchain","name":"langchain","tagline":"The agent engineering platform.","github_url":"https://github.com/langchain-ai/langchain","owner":"langchain-ai","repo":"langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/126733545?v=4","primary_language":"Python","stars":143615,"forks":23930,"topics":["agents","ai","ai-agents","anthropic","chatgpt","deepagents","enterprise","framework","gemini","generative-ai","langchain","langgraph","llm","multiagent","open-source","openai","pydantic","python","rag","typescript"],"archived":false,"github_pushed_at":"2026-08-07T08:27:07+00:00","maintenance_label":"Very active","stars_delta_30d":2337,"url":"https://www.graphcanon.com/tools/langchain-ai-langchain","markdown_url":"https://www.graphcanon.com/tools/langchain-ai-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langchain-ai-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langchain-ai-langchain"}},{"type":"integrates_with","direction":"out","explanation":"RAGs generates text based on data sources using a Retriever-Augmented Generation pipeline, while headroom compresses the RAG chunks along with other outputs to reduce token usage without losing information. The 'integrates with' relationship exists because headroom can process and compress the RAG chunks produced by RAGs, optimizing their input size for language models.","successor_context":null,"tool":{"slug":"headroomlabs-ai-headroom","name":"headroom","tagline":"Compress tool outputs and data to reduce tokens before reaching the LLM.","github_url":"https://github.com/headroomlabs-ai/headroom","owner":"headroomlabs-ai","repo":"headroom","owner_avatar_url":"https://avatars.githubusercontent.com/u/294291659?v=4","primary_language":"Python","stars":66470,"forks":5103,"topics":["agent","ai","anthropic","claude-code","compression","context-engineering","context-window","cursor","fastapi","langchain","llm","mcp","openai","prompt-engineering","proxy","python","rag","token-optimization","tokens","typescript"],"archived":false,"github_pushed_at":"2026-08-16T00:57:42+00:00","maintenance_label":"Very active","stars_delta_30d":6941,"url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom","markdown_url":"https://www.graphcanon.com/tools/headroomlabs-ai-headroom.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/headroomlabs-ai-headroom","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=headroomlabs-ai-headroom"}},{"type":"related","direction":"out","explanation":"Codewhale and RAGs are both open-source projects for agent development, sharing the goal of empowering users to create customized AI agents.","successor_context":null,"tool":{"slug":"hmbown-codewhale","name":"CodeWhale","tagline":"Open-source, community-driven agent harness","github_url":"https://github.com/Hmbown/CodeWhale","owner":"Hmbown","repo":"CodeWhale","owner_avatar_url":"https://avatars.githubusercontent.com/u/101357273?v=4","primary_language":"Rust","stars":40813,"forks":3528,"topics":["cli","deepseek","llm","rust","terminal","tui"],"archived":false,"github_pushed_at":"2026-08-16T09:35:03+00:00","maintenance_label":"Very active","stars_delta_30d":955,"url":"https://www.graphcanon.com/tools/hmbown-codewhale","markdown_url":"https://www.graphcanon.com/tools/hmbown-codewhale.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hmbown-codewhale","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hmbown-codewhale"}},{"type":"depends_on","direction":"out","explanation":"Although RAGs is not explicitly mentioned as depending on txtai, its function of creating a RAG pipeline could be closely tied to functionalities provided by an all-in-one AI framework like txtai.","successor_context":null,"tool":{"slug":"neuml-txtai","name":"txtai","tagline":"All-in-one AI framework for semantic search, LLM orchestration and language model workflows","github_url":"https://github.com/neuml/txtai","owner":"neuml","repo":"txtai","owner_avatar_url":"https://avatars.githubusercontent.com/u/59890304?v=4","primary_language":"Python","stars":12890,"forks":873,"topics":["agents","ai","ai-agents","embeddings","information-retrieval","language-model","large-language-models","llm","nlp","python","rag","retrieval-augmented-generation","search","search-engine","semantic-search","sentence-embeddings","transformers","txtai","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-12T13:42:39+00:00","maintenance_label":"Very active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/neuml-txtai","markdown_url":"https://www.graphcanon.com/tools/neuml-txtai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neuml-txtai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neuml-txtai"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"alternative","direction":"out","explanation":"Both RAGs and LangChain-Chatchat aim to provide local knowledge-based LLM RAG and agent app functionality, yet they approach the problem with different configurations and user experiences.","successor_context":null,"tool":{"slug":"chatchat-space-langchain-chatchat","name":"Langchain-Chatchat","tagline":"Local knowledge-based RAG and Agent app using Langchain and various LLMs","github_url":"https://github.com/chatchat-space/Langchain-Chatchat","owner":"chatchat-space","repo":"Langchain-Chatchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/139558948?v=4","primary_language":"Python","stars":38522,"forks":6266,"topics":["chatbot","chatchat","chatglm","chatgpt","embedding","faiss","fastchat","gpt","knowledge-base","langchain","langchain-chatglm","llama","llm","milvus","ollama","qwen","rag","retrieval-augmented-generation","streamlit","xinference"],"archived":false,"github_pushed_at":"2025-11-10T09:27:42+00:00","maintenance_label":"Slowing","stars_delta_30d":254,"url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat","markdown_url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chatchat-space-langchain-chatchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat"}},{"type":"related","direction":"out","explanation":"RTK and RAGs are both tools for AI development aiming at optimizing resources for LLM applications, albeit in different ways.","successor_context":null,"tool":{"slug":"rtk-ai-rtk","name":"rtk","tagline":"CLI proxy reducing LLM token consumption by 60-90% on common dev commands","github_url":"https://github.com/rtk-ai/rtk","owner":"rtk-ai","repo":"rtk","owner_avatar_url":"https://avatars.githubusercontent.com/u/258253854?v=4","primary_language":"Rust","stars":76247,"forks":4795,"topics":["agentic-coding","ai-coding","anthropic","claude-code","cli","command-line-tool","cost-reduction","developer-tools","llm","open-source","productivity","rust","token-optimization"],"archived":false,"github_pushed_at":"2026-08-15T02:01:37+00:00","maintenance_label":"Very active","stars_delta_30d":4851,"url":"https://www.graphcanon.com/tools/rtk-ai-rtk","markdown_url":"https://www.graphcanon.com/tools/rtk-ai-rtk.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rtk-ai-rtk","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rtk-ai-rtk"}},{"type":"integrates_with","direction":"out","explanation":"Semantic Kernel can integrate seamlessly with various LLMs including the ones underpinning RAG systems; hence, it likely integrates well with Rags for building applications.","successor_context":null,"tool":{"slug":"microsoft-semantic-kernel","name":"semantic-kernel","tagline":"Integrate cutting-edge LLM technology quickly and easily into your apps","github_url":"https://github.com/microsoft/semantic-kernel","owner":"microsoft","repo":"semantic-kernel","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"C#","stars":28427,"forks":4707,"topics":["ai","artificial-intelligence","llm","openai","sdk"],"archived":false,"github_pushed_at":"2026-08-06T09:54:50+00:00","maintenance_label":"Very active","stars_delta_30d":142,"url":"https://www.graphcanon.com/tools/microsoft-semantic-kernel","markdown_url":"https://www.graphcanon.com/tools/microsoft-semantic-kernel.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-semantic-kernel","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-semantic-kernel"}},{"type":"alternative","direction":"out","explanation":"RAGs and llm-app both provide frameworks for building RAG pipelines, albeit with different approaches to deployment.","successor_context":null,"tool":{"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":59037,"forks":1466,"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":"Steady","stars_delta_30d":11,"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"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"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":59037,"forks":1466,"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":"Steady","stars_delta_30d":11,"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"}},{"type":"alternative","direction":"out","explanation":"Quivr and RAGs both offer retrieval-augmented generation (RAG) solutions, but they have different design philosophies with Quivr being more opinionated.","successor_context":null,"tool":{"slug":"quivrhq-quivr","name":"quivr","tagline":"Opiniated RAG for integrating GenAI in your apps 🧠","github_url":"https://github.com/QuivrHQ/quivr","owner":"QuivrHQ","repo":"quivr","owner_avatar_url":"https://avatars.githubusercontent.com/u/159330290?v=4","primary_language":"Python","stars":39401,"forks":3727,"topics":["ai","api","chatbot","chatgpt","database","docker","framework","frontend","groq","html","javascript","llm","openai","postgresql","privacy","rag","react","security","typescript","vector"],"archived":false,"github_pushed_at":"2025-07-09T12:55:23+00:00","maintenance_label":"Dormant","stars_delta_30d":188,"url":"https://www.graphcanon.com/tools/quivrhq-quivr","markdown_url":"https://www.graphcanon.com/tools/quivrhq-quivr.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/quivrhq-quivr","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=quivrhq-quivr"}},{"type":"related","direction":"out","explanation":"Though not directly linked to RAG or agents, both SnailClimb-JavaGuide and RAGs pertain to AI application development, each in distinct manners: one as a thorough guide and the other as a practical tool.","successor_context":null,"tool":{"slug":"snailclimb-javaguide","name":"JavaGuide","tagline":"Java Interview & Backend General Guide, covering computer basics, databases, distributed systems, high concurrency, system design, and AI application development","github_url":"https://github.com/Snailclimb/JavaGuide","owner":"Snailclimb","repo":"JavaGuide","owner_avatar_url":"https://avatars.githubusercontent.com/u/29880145?v=4","primary_language":"JavaScript","stars":157862,"forks":46172,"topics":["agent","ai","context-engineering","deepseek","interview","java","mcp","mysql","redis","redisson","skills","springai","system-design"],"archived":false,"github_pushed_at":"2026-08-18T13:05:40+00:00","maintenance_label":"Very active","stars_delta_30d":741,"url":"https://www.graphcanon.com/tools/snailclimb-javaguide","markdown_url":"https://www.graphcanon.com/tools/snailclimb-javaguide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/snailclimb-javaguide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=snailclimb-javaguide"}},{"type":"integrates_with","direction":"out","explanation":"RAGs is a Streamlit app designed for building Retriever-Augmented Generation pipelines from data sources using natural language interfaces, while awesome-llm-apps is a repository of over 100 AI Agent and RAG applications ready for deployment. The 'integrates with' relationship signifies that applications or pipelines created with RAGs can be added to the collection in awesome-llm-apps, expanding它的","successor_context":null,"tool":{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps"}},{"type":"related","direction":"out","explanation":"RAGs could be considered part of the collection of applications in Awesome LLM Apps, being a practical RAG solution.","successor_context":null,"tool":{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Very active","stars_delta_30d":14464,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps"}},{"type":"related","direction":"in","explanation":"'pathwaycom/llm-app' provides AI pipelines that include RAG (Retrieval-Augmented Generation), and 'rags' focuses solely on building ChatGPT-like applications over data using RAG. The relation here is adjacent since both tools address similar functionality but in different contexts.","successor_context":null,"tool":{"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":59037,"forks":1466,"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":"Steady","stars_delta_30d":11,"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"}},{"type":"successor","direction":"in","explanation":"LlamaIndex provides more comprehensive document parsing and extraction services on top of RAG capabilities, indicating it builds on similar foundational concepts but offers additional features.","successor_context":{"status":"coexists","reason":"Rags is a building block for creating query-over-data agents, while LlamaIndex expands with OCR, parsing, and more."},"tool":{"slug":"run-llama-llama-index","name":"llama_index","tagline":"Leading document agent and OCR platform","github_url":"https://github.com/run-llama/llama_index","owner":"run-llama","repo":"llama_index","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Python","stars":51442,"forks":7885,"topics":["agents","application","data","fine-tuning","framework","llamaindex","llm","multi-agents","rag","vector-database"],"archived":false,"github_pushed_at":"2026-08-06T21:24:16+00:00","maintenance_label":"Very active","stars_delta_30d":719,"url":"https://www.graphcanon.com/tools/run-llama-llama-index","markdown_url":"https://www.graphcanon.com/tools/run-llama-llama-index.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-llama-index","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-llama-index"}},{"type":"alternative","direction":"in","explanation":"Both kotaemon and rags are RAG-based tools used for chatting with documents, differing in implementation but addressing similar use cases.","successor_context":null,"tool":{"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":25701,"forks":2141,"topics":["chatbot","llms","open-source","rag"],"archived":false,"github_pushed_at":"2026-07-14T16:53:59+00:00","maintenance_label":"Steady","stars_delta_30d":138,"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"}},{"type":"integrates_with","direction":"in","explanation":"MaxKB integrates RAG pipelines, and rags helps build data-driven chatbots using the same concept so they can integrate to provide powerful agents.","successor_context":null,"tool":{"slug":"1panel-dev-maxkb","name":"MaxKB","tagline":"🔥 MaxKB 是一个用于构建企业级代理的开源平台。","github_url":"https://github.com/1Panel-dev/MaxKB","owner":"1Panel-dev","repo":"MaxKB","owner_avatar_url":"https://avatars.githubusercontent.com/u/109613420?v=4","primary_language":"Python","stars":22536,"forks":3102,"topics":["agent","agentic-ai","chatbot","deepseek-r1","knowledgebase","langchain","llama3","llm","maxkb","mcp-server","ollama","pgvector","qwen3","rag"],"archived":false,"github_pushed_at":"2026-08-18T06:00:47+00:00","maintenance_label":"Very active","stars_delta_30d":409,"url":"https://www.graphcanon.com/tools/1panel-dev-maxkb","markdown_url":"https://www.graphcanon.com/tools/1panel-dev-maxkb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/1panel-dev-maxkb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=1panel-dev-maxkb"}},{"type":"related","direction":"in","explanation":"Both tools deal with enhancing LLM performance but through different mechanisms: RAGs uses a retrieval-augmented approach, whereas DataDreamer focuses on synthetic data generation for training purposes.","successor_context":null,"tool":{"slug":"datadreamer-dev-datadreamer","name":"DataDreamer","tagline":"Prompt. Generate Synthetic Data. Train & Align Models.","github_url":"https://github.com/datadreamer-dev/DataDreamer","owner":"datadreamer-dev","repo":"DataDreamer","owner_avatar_url":"https://avatars.githubusercontent.com/u/154913957?v=4","primary_language":"Python","stars":1117,"forks":58,"topics":["alignment","deep-learning","fine-tuning","gpt","instruction-tuning","llm","llmops","llms","machine-learning","natural-language-processing","nlp","nlp-library","openai","python","pytorch","synthetic-data","synthetic-dataset-generation","transformers"],"archived":false,"github_pushed_at":"2025-02-02T21:23:50+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer","markdown_url":"https://www.graphcanon.com/tools/datadreamer-dev-datadreamer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datadreamer-dev-datadreamer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datadreamer-dev-datadreamer"}}],"neighbours":[{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":131230,"forks":19346,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-08-03T03:30:58+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps","shared_categories":["ai-agents","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":59037,"forks":1466,"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":"Steady","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":["data-retrieval"]},{"slug":"zylon-ai-private-gpt","name":"private-gpt","tagline":"Complete API layer for private AI applications on local models","github_url":"https://github.com/zylon-ai/private-gpt","owner":"zylon-ai","repo":"private-gpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/143802295?v=4","primary_language":"Python","stars":57415,"forks":7607,"topics":["ai","ai-tools","on-premise"],"archived":false,"github_pushed_at":"2026-08-06T13:41:08+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/zylon-ai-private-gpt","markdown_url":"https://www.graphcanon.com/tools/zylon-ai-private-gpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zylon-ai-private-gpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zylon-ai-private-gpt","shared_categories":[]},{"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":37020,"forks":6107,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-07-27T18:43:06+00:00","maintenance_label":"Active","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":["ai-agents"]},{"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":29076,"forks":3540,"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":"2026-08-15T00:52:05+00:00","maintenance_label":"Very 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":"arindam200-awesome-ai-apps","name":"awesome-ai-apps","tagline":"A curated list of AI applications showcasing RAG, agents, and workflows.","github_url":"https://github.com/Arindam200/awesome-ai-apps","owner":"Arindam200","repo":"awesome-ai-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/109217591?v=4","primary_language":"Python","stars":13268,"forks":1721,"topics":["agents","ai","hacktoberfest","llm","mcp"],"archived":false,"github_pushed_at":"2026-07-23T14:34:29+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps","markdown_url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arindam200-awesome-ai-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arindam200-awesome-ai-apps","shared_categories":["ai-agents"]},{"slug":"crmne-ruby-llm","name":"ruby_llm","tagline":"A Ruby framework for building AI agents and applications","github_url":"https://github.com/crmne/ruby_llm","owner":"crmne","repo":"ruby_llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/106617?v=4","primary_language":"Ruby","stars":4259,"forks":481,"topics":["agents","ai","anthropic","chatgpt","claude","deepseek","embeddings","gemini","gpustack","image-generation","llm","mistral","ollama","openai","openrouter","perplexity","rails","ruby","vertex-ai","xai"],"archived":false,"github_pushed_at":"2026-07-15T10:04:55+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/crmne-ruby-llm","markdown_url":"https://www.graphcanon.com/tools/crmne-ruby-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/crmne-ruby-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=crmne-ruby-llm","shared_categories":["ai-agents"]},{"slug":"giovannipasq-agentic-rag-for-dummies","name":"agentic-rag-for-dummies","tagline":"A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents","github_url":"https://github.com/GiovanniPasq/agentic-rag-for-dummies","owner":"GiovanniPasq","repo":"agentic-rag-for-dummies","owner_avatar_url":"https://avatars.githubusercontent.com/u/33225259?v=4","primary_language":"Jupyter Notebook","stars":3893,"forks":499,"topics":["agent","agentic-ai","agentic-rag","agents","ai-agents","bm25","generative-ai","gradio","langchain","langgraph","llm","ollama","qdrant","rag","rag-agents","rag-chatbot","rag-pipeline","retrieval-augmented-generation","retrieval-augmented-generation-rag"],"archived":false,"github_pushed_at":"2026-07-25T11:33:02+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/giovannipasq-agentic-rag-for-dummies","markdown_url":"https://www.graphcanon.com/tools/giovannipasq-agentic-rag-for-dummies.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/giovannipasq-agentic-rag-for-dummies","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies","shared_categories":["ai-agents","data-retrieval"]},{"slug":"agentset-ai-agentset","name":"agentset","tagline":"The open-source RAG platform with built-in citations and support for deep research","github_url":"https://github.com/agentset-ai/agentset","owner":"agentset-ai","repo":"agentset","owner_avatar_url":"https://avatars.githubusercontent.com/u/200139246?v=4","primary_language":"TypeScript","stars":2035,"forks":183,"topics":["agentic-rag","ai","ai-agents","ai-sdk","chatbots","embeddings","genai","llms","memory","memory-management","rag","vercel-ai-sdk"],"archived":false,"github_pushed_at":"2026-07-16T13:11:34+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/agentset-ai-agentset","markdown_url":"https://www.graphcanon.com/tools/agentset-ai-agentset.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentset-ai-agentset","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentset-ai-agentset","shared_categories":["ai-agents","data-retrieval"]},{"slug":"ray-project-llm-applications","name":"llm-applications","tagline":"Comprehensive guide to building RAG-based LLM applications for production","github_url":"https://github.com/ray-project/llm-applications","owner":"ray-project","repo":"llm-applications","owner_avatar_url":"https://avatars.githubusercontent.com/u/22125274?v=4","primary_language":"Jupyter Notebook","stars":1857,"forks":255,"topics":["anyscale","fine-tuning","llama2","llms","machine-learning","openai","ray","serving"],"archived":false,"github_pushed_at":"2024-08-02T00:27:10+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/ray-project-llm-applications","markdown_url":"https://www.graphcanon.com/tools/ray-project-llm-applications.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ray-project-llm-applications","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ray-project-llm-applications","shared_categories":[]},{"slug":"andrewnguonly-lumos","name":"Lumos","tagline":"A RAG LLM co-pilot for browsing the web","github_url":"https://github.com/andrewnguonly/Lumos","owner":"andrewnguonly","repo":"Lumos","owner_avatar_url":"https://avatars.githubusercontent.com/u/7654246?v=4","primary_language":"TypeScript","stars":1516,"forks":112,"topics":["chrome-extension","langchain","langchain-js","llm","ollama","react","typescript","webpack"],"archived":false,"github_pushed_at":"2025-01-26T15:42:22+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/andrewnguonly-lumos","markdown_url":"https://www.graphcanon.com/tools/andrewnguonly-lumos.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/andrewnguonly-lumos","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=andrewnguonly-lumos","shared_categories":["data-retrieval"]},{"slug":"benman1-generative-ai-with-langchain","name":"generative_ai_with_langchain","tagline":"Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph","github_url":"https://github.com/benman1/generative_ai_with_langchain","owner":"benman1","repo":"generative_ai_with_langchain","owner_avatar_url":"https://avatars.githubusercontent.com/u/10786684?v=4","primary_language":"Jupyter Notebook","stars":1400,"forks":582,"topics":["agent","chatgpt","claude","claude-3-5-sonnet","deepseek","deepseek-r1","gpt","gpt-4o","huggingface","langchain","langgraph","llamacpp","llms","ollama","openai"],"archived":false,"github_pushed_at":"2026-08-05T12:50:30+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain","markdown_url":"https://www.graphcanon.com/tools/benman1-generative-ai-with-langchain.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/benman1-generative-ai-with-langchain","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=benman1-generative-ai-with-langchain","shared_categories":["ai-agents"]}]}}