generative-ai

This repository is a broad generative AI learning and project hub, primarily organized around Jupyter notebooks, PDFs, and Python code covering topics from RAG variants to multi-agent orchestration. On the Claude and MCP side, it includes a dedicated Model Context Protocol section demonstrating how LLMs can use standardized tool interoperability, including web search integration. Practical project folders cover advanced RAG techniques such as corrective RAG, hybrid search, and query expansion; multi-agent systems built with CrewAI and LangGraph; a production-grade content moderation system with a React frontend; and 25 reasoning patterns including Chain-of-Thought and ReAct. The repository also ships career materials including a 90-question multi-agentic AI interview prep PDF and an enterprise production readiness checklist. A companion interactive learning platform, AI-ML Companion, extends the content with 260 modules across 20 tracks. The primary audience is developers and ML practitioners building hands-on familiarity with LLM application patterns across multiple providers, including Claude, OpenAI, and Gemini.

What people ask about generative-ai