# #rag — GitHub repositories

> Curated open-source repositories tagged "rag".

- [open-webui/open-webui](https://github.com/open-webui/open-webui) — User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (★158k, Svelte, vibe 98/100) · details: https://ideas.asveas.com/r/open-webui/open-webui
- [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) — 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. (★144k, Python, vibe 97/100) · details: https://ideas.asveas.com/r/Shubhamsaboo/awesome-llm-apps
- [infiniflow/ragflow](https://github.com/infiniflow/ragflow) — RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure. (★94k, Go, vibe 95/100) · details: https://ideas.asveas.com/r/infiniflow/ragflow
- [unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) — Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Fully open source: this repo is the Apache-2.0 crawler that powers it, and you can self-host it. (★87.2k, Python, vibe 95/100) · details: https://ideas.asveas.com/r/unclecode/crawl4ai
- [mem0ai/mem0](https://github.com/mem0ai/mem0) — The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. (★68.8k, Python, vibe 94/100) · details: https://ideas.asveas.com/r/mem0ai/mem0
- [run-llama/llama_index](https://github.com/run-llama/llama_index) — LlamaIndex is the document processing platform for AI (★52.9k, Python, vibe 93/100) · details: https://ideas.asveas.com/r/run-llama/llama_index
- [milvus-io/milvus](https://github.com/milvus-io/milvus) — Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search (★46.6k, Go, vibe 92/100) · details: https://ideas.asveas.com/r/milvus-io/milvus
- [dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) — 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. (★80k, MDX, vibe 77/100) · details: https://ideas.asveas.com/r/dair-ai/Prompt-Engineering-Guide
- [FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise) — Build AI Agents, Visually (★55.6k, TypeScript, vibe 69/100) · details: https://ideas.asveas.com/r/FlowiseAI/Flowise

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Source: https://ideas.asveas.com/t/rag · 9 repositories · Catalog: https://ideas.asveas.com/llms.txt