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
Talk to your Mac, query your docs, no cloud required. On-device voice AI + RAG
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-Agent[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/omniboxUnify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-Retrieval🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
$ npx skills add superlinear-ai/ragliteDaily 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-dailyWikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatDemystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
$ npx skills add pguso/rag-from-scratchOpenSource Production ready Customer service with built in Evals and monitoring
$ npx skills add GitHamza0206/simbaA @ClickHouse fork that supports high-performance vector search and full-text search.
$ npx skills add myscale/MyScaleDBOpen-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
$ npx skills add genkit-ai/genkit[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
$ npx skills add TencentCloudADP/youtu-graphragThe fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
$ npx skills add yfedoseev/pdf_oxideBuild fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
$ npx skills add FalkorDB/GraphRAG-SDKIngest 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-ragFast, streaming indexing, query, and agentic LLM applications in Rust
$ npx skills add bosun-ai/swiftideHow 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 RCLI 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.