patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
Arindam200/awesome-ai-apps
The project "awesome-ai-apps" is a comprehensive collection of practical examples, tutorials, and recipes designed to showcase how to build powerful AI applications powered by large language models (LLMs). It serves as a guide for developers interested in creating AI-driven applications, including chatbots, Retrieval-Augmented Generation (RAG) systems, agents, workflows, and other AI use cases. The repository highlights various AI agent frameworks such as Google Agent Development Kit (ADK), OpenAI Agents SDK, LangChain, LlamaIndex, Agno, CrewAI, and Pydantic AI, providing users with a broad spectrum of tools to build intelligent applications. Additionally, the project features a curated list of tools and APIs like Exa, Tavily, Firecrawl, BrightData, Resend, Cal.com, DuckDuckGo, YFinance, and HackerNews, which can be integrated into AI applications to enhance their functionality. It also showcases several state-of-the-art LLM models including Meta-Llama and Qwen models, accessible through the Nebius AI Studio platform. The repository includes detailed setup instructions, prerequisites, and installation steps to help users get started quickly. It encourages community contributions by inviting users to submit their own LLM application examples, complete with documentation and best practices. The project is licensed under the MIT License, allowing free use and modification of the examples. Overall, "awesome-ai-apps" is a valuable resource for developers and AI enthusiasts looking to explore and implement advanced AI applications using modern frameworks, tools, and models, with a particular emphasis on AI agents and the Model Context Protocol (MCP).
https://github.com/Arindam200/awesome-ai-apps
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