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
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
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-AgentKnowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
$ npx skills add Ontos-AI/knowhereThis repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
$ npx skills add aws-samples/amazon-bedrock-samplesRAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
$ npx skills add Raudaschl/rag-fusionA complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
$ npx skills add louisfb01/start-llms🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.
$ npx skills add study8677/awesome-architectureBuilding blocks for rapid development of GenAI applications
$ npx skills add deepsense-ai/ragbits🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
$ npx skills add superlinear-ai/ragliteAI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.
$ npx skills add juanjuandog/FinSight-AIFull-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.
$ npx skills add vstorm-co/full-stack-ai-agent-templateAn Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
$ npx skills add your-papa/obsidian-Smart2BrainUnify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-RetrievalA practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.
$ npx skills add rudrankriyam/Foundation-Models-Framework-LabThe collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
$ npx skills add EmbeddedLLM/JamAIBaseCollect, organize, use, and share, all in OmniBox.
$ npx skills add import-ai/omniboxYouTube Full Text Search - Search all of YouTube from the command line
$ npx skills add NotJoeMartinez/yt-ftsHow 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 RAG Driven Generative AI 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.