Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-RetrievalAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-RetrievalIngest 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-ragDaily 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-dailyAwesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
$ npx skills add DEEP-PolyU/Awesome-GraphRAG[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/TrustRAGThis NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
$ npx skills add NVIDIA-AI-Blueprints/rag[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
$ npx skills add DEEP-PolyU/LinearRAG[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAGCollect, organize, use, and share, all in OmniBox.
$ npx skills add import-ai/omniboxWikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatRetrieval 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/TheoremExplainAgentUse late-interaction multi-modal models such as ColPali in just a few lines of code.
$ npx skills add AnswerDotAI/byaldiRAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
$ npx skills add Raudaschl/rag-fusionA 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-courseHow 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 HiRAG 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.