WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatAlternatives
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📚 Process PDFs, Word documents and more with spaCy
WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
$ npx skills add stanford-oval/WikiChatUnify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-RetrievalThis 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-samples[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
$ npx skills add hhy-huang/HiRAGSummarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
$ npx skills add thiswillbeyourgithub/wdocA practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.
$ npx skills add rudrankriyam/Foundation-Models-Framework-LabExample apps for Foundation Models Framework in iOS 26 and macOS 26
$ npx skills add rudrankriyam/Foundation-Models-Framework-ExamplePersian NLP Toolkit
$ npx skills add roshan-research/hazmKnowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
$ npx skills add Ontos-AI/knowhereBuilding 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/ragliteFull-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-templateThe 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/omnibox[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAGDaily 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-dailyHow 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 Spacy Layout 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.