This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
$ npx skills add NirDiamant/Controllable-RAG-AgentAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
$ npx skills add NirDiamant/Controllable-RAG-AgentCollect, organize, use, and share, all in OmniBox.
$ npx skills add import-ai/omniboxUnify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-RetrievalDaily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
$ npx skills add xianshang33/llm-paper-dailyOfficial Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
$ npx skills add TIGER-AI-Lab/TheoremExplainAgent[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
$ npx skills add TencentCloudADP/youtu-graphragTrustRAG:The RAG Framework within Reliable input,Trusted output
$ npx skills add gomate-community/TrustRAGIngest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
$ npx skills add jonfairbanks/local-ragThis NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
$ npx skills add NVIDIA-AI-Blueprints/rag[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
$ npx skills add hhy-huang/HiRAG[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
$ npx skills add DEEP-PolyU/LinearRAGSummarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
$ npx skills add thiswillbeyourgithub/wdocThis repository contains the implementation of AutoSchemaKG, a novel framework for automatic knowledge graph construction that combines schema generation via conceptualization.
$ npx skills add HKUST-KnowComp/AutoSchemaKGA toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
$ npx skills add KruxAI/ragbuilderA full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
$ npx skills add tonykipkemboi/ollama_pdf_ragUse ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
$ npx skills add redis-developer/ArXivChatGuruHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Langchain Course if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.