genieincodebottle/generative-ai

Usage

• •Browse the docs/ folder for PDF guides (vector embeddings, prompt engineering, AI patterns, GenAI on AWS/Azure/VertexAI, interview Q&A, etc.)
• •Explore genai-usecases/ for runnable sample projects: advance-rag, agentic-ai (CrewAI & LangGraph), mcp (Model Context Protocol with web search), text-to-sql, graph-qa, prompt-guard, n8n-automation, etc.
• •Companion interactive platform: AI-ML Companion (aimlcompanion.ai) with 22 tracks and 300+ modules

Key features

• ✓End-to-end GenAI learning content: roadmaps, cheatsheets, and 13-module interview Q&A track (ML, GenAI, Agentic AI, MLOps)
• ✓Practical use cases: advanced RAG (9 patterns), agentic AI, cache-augmented generation, content moderation system, conversational analytics, chatbot with memory, LLM/embedding provider comparisons
• ✓Cloud platform guides for AWS, Azure, and VertexAI; enterprise production checklist
• ✓Prompt-engineering techniques (16+) and prompt-injection guard using Llama Guard

Best for

Learning and reference material for GenAI/Agentic AI concepts and real-world example projects rather than for running an MCP connection.

Caveats

• ⚠Not a runnable MCP server - it is a documentation/learning repository (flagship interactive content lives on the paid companion platform aimlcompanion.ai, free to start)
• ⚠Repo structures each use case as its own project with its own setup steps