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
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Unify 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[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
$ npx skills add hhy-huang/HiRAGCollect, organize, use, and share, all in OmniBox.
$ npx skills add import-ai/omniboxRetrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbedding[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[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAGWikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatAwesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
$ npx skills add DEEP-PolyU/Awesome-GraphRAGOfficial Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
$ npx skills add TIGER-AI-Lab/TheoremExplainAgentSamples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
$ npx skills add ThomasVitale/llm-apps-java-spring-aiOpen-source tool to visualise your RAG 🔮
$ npx skills add gabrielchua/RAGxplorerRAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
$ npx skills add Raudaschl/rag-fusion[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
$ npx skills add DEEP-PolyU/LinearRAGHow 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 Local RAG 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.