Jupyter Notebooks to help you get hands-on with Pinecone vector databases
$ npx skills add pinecone-io/examplesAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Open-source tool to visualise your RAG 🔮
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
$ npx skills add pinecone-io/examplesCollect, 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-daily[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
$ npx skills add TencentCloudADP/youtu-graphragEnd-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营,RAG 10大组件全面拆解,4个实操项目吃透 RAG 全流程。RAG的落地,往往是面向业务做RAG,而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中,我们深入进去探究。
$ npx skills add huangjia2019/rag-in-actionIngest 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-ragA project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
$ npx skills add emarco177/langchain-courseThis 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-AgentWikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatOpenSource Production ready Customer service with built in Evals and monitoring
$ npx skills add GitHamza0206/simbaRetrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbeddingOfficial Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
$ npx skills add TIGER-AI-Lab/TheoremExplainAgentTrustRAG:The RAG Framework within Reliable input,Trusted output
$ npx skills add gomate-community/TrustRAGThis NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
$ npx skills add NVIDIA-AI-Blueprints/ragResearch project. A Memory solution for users, teams, and applications.
$ npx skills add microsoft/kernel-memoryHow 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 RAGxplorer 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.