Mastering AI Agents & RAG: Full Tour of Shubhamsaboo's Awesome-LLM-Apps

Description

Stop searching for AI tutorials and start building. awesome-llm-apps is the world’s most comprehensive open-source collection of runnable AI agents and RAG pipelines. From "AI Travel Agents" to "Multi-Agent Finance Teams," this repo has the exact code you need to build the future of AI in 2026. GitHub Repo: https://github.com/Shubhamsaboo/awesome-llm-apps What You Will Learn: The Agentic Hierarchy: Exploring Starter Agents, Advanced Reasoning Agents, and Multi-Agent Teams (CrewAI, Swarm, etc.). RAG Masterclass: From simple "Chat with PDF" to complex Hybrid Search, Knowledge Graph RAG, and Agentic RAG. MCP (Model Context Protocol): How to give your agents access to GitHub, Notion, and your local browser. Voice AI: Building sub-second latency voice assistants and AI-driven podcasts. Chat with Everything: Patterns for "Chat with Gmail," "Chat with YouTube," and "Chat with Research Papers." Optimization: Using "Toonify" and "Headroom" to reduce your API costs by up to 90%. Tech Stack & Setup: Most projects are Python-driven and use Streamlit for the UI. Quick Start: git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git cd awesome-llm-apps/starter_ai_agents/ai_travel_agent pip install -r requirements.txt Follow the .env setup in the project folder and run the app. Resources: Unwind AI Newsletter: Stay updated on new agents added weekly. Framework Crash Courses: Learn Google ADK, OpenAI SDK, and Agno (formerly Phidata) directly in the repo.