{"data":{"node":{"slug":"ai21labs-in-context-ralm","name":"in-context-ralm","tagline":"In-Context Retrieval-Augmented Language Models Experiment Reproduction","github_url":"https://github.com/AI21Labs/in-context-ralm","owner":"AI21Labs","repo":"in-context-ralm","owner_avatar_url":"https://avatars.githubusercontent.com/u/33798954?v=4","primary_language":"Python","stars":295,"forks":28,"topics":[],"archived":true,"github_pushed_at":"2023-12-20T07:55:54+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/ai21labs-in-context-ralm","markdown_url":"https://www.graphcanon.com/tools/ai21labs-in-context-ralm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ai21labs-in-context-ralm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ai21labs-in-context-ralm"},"categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"language-models","name":"language-models"},{"slug":"retrieval-augmentation","name":"retrieval-augmentation"},{"slug":"wikitext-103","name":"wikitext-103"}],"edges":[],"neighbours":[{"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":"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":["model-training"]},{"slug":"lightning-ai-litgpt","name":"litgpt","tagline":"High-performance LLMs with recipes for pretraining, finetuning and deployment","github_url":"https://github.com/Lightning-AI/litgpt","owner":"Lightning-AI","repo":"litgpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":13605,"forks":1483,"topics":["ai","artificial-intelligence","deep-learning","large-language-models","llm","llm-inference","llms"],"archived":false,"github_pushed_at":"2026-07-20T10:24:12+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/lightning-ai-litgpt","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-litgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-litgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-litgpt","shared_categories":["model-training"]},{"slug":"rucaibox-llmsurvey","name":"LLMSurvey","tagline":"A comprehensive collection of papers and resources related to Large Language Models.","github_url":"https://github.com/RUCAIBox/LLMSurvey","owner":"RUCAIBox","repo":"LLMSurvey","owner_avatar_url":"https://avatars.githubusercontent.com/u/54706620?v=4","primary_language":"Python","stars":12205,"forks":931,"topics":["chain-of-thought","chatgpt","in-context-learning","instruction-tuning","large-language-models","llm","llms","natural-language-processing","pre-trained-language-models","pre-training","rlhf"],"archived":false,"github_pushed_at":"2025-03-11T09:51:42+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/rucaibox-llmsurvey","markdown_url":"https://www.graphcanon.com/tools/rucaibox-llmsurvey.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rucaibox-llmsurvey","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rucaibox-llmsurvey","shared_categories":["evaluation-observability"]},{"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":8845,"forks":950,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-08-14T15:54:28+00:00","maintenance_label":"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":["model-training","evaluation-observability"]},{"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","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","shared_categories":[]},{"slug":"egoalpha-prompt-in-context-learning","name":"prompt-in-context-learning","tagline":"Resources for in-context learning and prompt engineering with LLMs like ChatGPT and GPT-3","github_url":"https://github.com/EgoAlpha/prompt-in-context-learning","owner":"EgoAlpha","repo":"prompt-in-context-learning","owner_avatar_url":"https://avatars.githubusercontent.com/u/102293459?v=4","primary_language":"Jupyter Notebook","stars":2247,"forks":189,"topics":["ai-agent","chain-of-thought","chatbot","chatgpt","chatgpt-api","cot","in-context-learning","language-modeling","large-language-model","llm","pre-training","prompt","prompt-based-learning","prompt-engineering","prompt-learning"],"archived":false,"github_pushed_at":"2026-05-29T01:00:03+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/egoalpha-prompt-in-context-learning","markdown_url":"https://www.graphcanon.com/tools/egoalpha-prompt-in-context-learning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/egoalpha-prompt-in-context-learning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=egoalpha-prompt-in-context-learning","shared_categories":[]},{"slug":"amberljc-llmsys-paperlist","name":"LLMSys-PaperList","tagline":"Curated list of academic papers related to Large Language Model systems","github_url":"https://github.com/AmberLJC/LLMSys-PaperList","owner":"AmberLJC","repo":"LLMSys-PaperList","owner_avatar_url":"https://avatars.githubusercontent.com/u/42296458?v=4","primary_language":"Python","stars":2220,"forks":120,"topics":[],"archived":false,"github_pushed_at":"2026-07-25T02:03:12+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/amberljc-llmsys-paperlist","markdown_url":"https://www.graphcanon.com/tools/amberljc-llmsys-paperlist.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/amberljc-llmsys-paperlist","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=amberljc-llmsys-paperlist","shared_categories":["model-training"]},{"slug":"huangowen-awesome-llm-compression","name":"Awesome-LLM-Compression","tagline":"Awesome LLM compression research papers and tools to accelerate LLM training and inference.","github_url":"https://github.com/HuangOwen/Awesome-LLM-Compression","owner":"HuangOwen","repo":"Awesome-LLM-Compression","owner_avatar_url":"https://avatars.githubusercontent.com/u/24937399?v=4","primary_language":null,"stars":1859,"forks":129,"topics":[],"archived":false,"github_pushed_at":"2026-06-30T15:26:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression","markdown_url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huangowen-awesome-llm-compression","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huangowen-awesome-llm-compression","shared_categories":[]},{"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":[]},{"slug":"raudaschl-rag-fusion","name":"rag-fusion","tagline":"multi-query generation + Reciprocal Rank Fusion for retrieval-augmented generation","github_url":"https://github.com/Raudaschl/rag-fusion","owner":"Raudaschl","repo":"rag-fusion","owner_avatar_url":"https://avatars.githubusercontent.com/u/6103284?v=4","primary_language":"Python","stars":952,"forks":115,"topics":["chromadb","information-retrieval","openai","python","rag","rag-fusion","reciprocal-rank-fusion","retrieval-augmented-generation","vector-search"],"archived":false,"github_pushed_at":"2026-04-26T18:45:05+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/raudaschl-rag-fusion","markdown_url":"https://www.graphcanon.com/tools/raudaschl-rag-fusion.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raudaschl-rag-fusion","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raudaschl-rag-fusion","shared_categories":["evaluation-observability"]},{"slug":"harleyszhang-llm-note","name":"llm_note","tagline":"LLM notes covering model inference transformer structures and framework analysis","github_url":"https://github.com/harleyszhang/llm_note","owner":"harleyszhang","repo":"llm_note","owner_avatar_url":"https://avatars.githubusercontent.com/u/37138671?v=4","primary_language":"Python","stars":888,"forks":90,"topics":["cuda-programming","kv-cache","llm","llm-inference","transformer-models","triton-kernels","vllm"],"archived":false,"github_pushed_at":"2026-08-19T06:46:41+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/harleyszhang-llm-note","markdown_url":"https://www.graphcanon.com/tools/harleyszhang-llm-note.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/harleyszhang-llm-note","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=harleyszhang-llm-note","shared_categories":[]},{"slug":"georgian-io-llm-finetuning-toolkit","name":"LLM-Finetuning-Toolkit","tagline":"Toolkit for fine-tuning and testing open-source large language models","github_url":"https://github.com/georgian-io/LLM-Finetuning-Toolkit","owner":"georgian-io","repo":"LLM-Finetuning-Toolkit","owner_avatar_url":"https://avatars.githubusercontent.com/u/10764713?v=4","primary_language":"Python","stars":870,"forks":107,"topics":["ablation-study","classification","falcon","fine-tuning","finetuning","flan-t5","large-language-models","llama2","llm-test","lora","mistral-7b","nlp","nlp-machine-learning","qlora","redpajama","summarization","unit-testing","zephyr"],"archived":false,"github_pushed_at":"2026-05-04T16:33:40+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/georgian-io-llm-finetuning-toolkit","markdown_url":"https://www.graphcanon.com/tools/georgian-io-llm-finetuning-toolkit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/georgian-io-llm-finetuning-toolkit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=georgian-io-llm-finetuning-toolkit","shared_categories":["model-training"]}]}}