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CodeRabbitRAG application starter with vector databases and LLMs.
"Automated summary for AI agents and search engines."
RAG application starter with vector databases and LLMs.
{"id":"155393a4-fda9-47bf-8072-a0ad28a6dfe8","title":"LlamaIndex App Template","description":"This template provides a streamlined starting point for developing retrieval-augmented generation (RAG) applications using LlamaIndex, empowering developers to quickly build powerful LLM applications that can query and reason over custom data sources. It includes basic scaffolding for data ingestion, indexing, and query interfaces, accelerating the development of context-aware AI solutions without extensive boilerplate setup.","dateModified":"2026-04-03","difficulty":"beginner","tags":["llamaindex","rag","llm-app","python","javascript"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","setupCommand":"npx create-llama@latest","copyButtonText":"Copy setup command","faq":[{"question":"What is included in this boilerplate?","answer":"This boilerplate provides a complete project structure for building LlamaIndex applications, including configurations for data ingestion, indexing mechanisms, and a basic API or UI for querying your indexed data. It supports various data sources and LLM integrations, making it ideal for RAG applications."},{"question":"What are the prerequisites?","answer":"You need Node.js and npm/npx installed for `create-llama`. For the generated project, Python 3.8+ and pip are typically required, along with an API key for your chosen large language model provider (e.g., OpenAI)."},{"question":"How do I set up this boilerplate locally?","answer":"To initialize a new LlamaIndex project, run `npx create-llama@latest my-llama-app`. Follow the prompts to select your desired options (e.g., framework, LLM provider). Once generated, navigate into the project directory and install dependencies: `cd my-llama-app && npm install` or `pip install -r requirements.txt`."}]}Gin Vue Admin — Resource. 🚀Vite+Vue3+Gin拥有AI辅助的基础开发平台，企业级业务AI+开发解决方案，内置mcp辅助服务，内置skills管理，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。
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