A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
$ npx skills add Andrew-Jang/RAGHubAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
$ npx skills add Andrew-Jang/RAGHubReady-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
$ npx skills add pathwaycom/llm-appCurated list of the best truly open-source AI projects, models, tools, and infrastructure.
$ npx skills add alvinreal/awesome-opensource-aiLlamaIndex is the leading document agent and OCR platform
$ npx skills add run-llama/llama_indexA modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragAll-in-one platform for search, recommendations, RAG, and analytics offered via API
$ npx skills add devflowinc/trieveEverything you need to know to build your own RAG application
$ npx skills add bragai/bRAG-langchainOpen Source AI Platform - AI Chat with advanced features that works with every LLM
$ npx skills add onyx-dot-app/onyxTest your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
$ npx skills add promptfoo/promptfooopen-source agentic AI data assistant for the next generation of AI + Data products.
$ npx skills add eosphoros-ai/DB-GPT📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
$ npx skills add datawhalechina/hello-agents📚 从零开始构建大模型
$ npx skills add datawhalechina/happy-llm[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
$ npx skills add yichuan-w/LEANN[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
$ npx skills add StarTrail-org/LEANNGive AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.
$ npx skills add Canner/WrenAIA powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
$ npx skills add ConardLi/easy-datasetHow 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 Extractous 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.