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Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Subagents2.4k stars584 forksJupyter NotebookMITUpdated 1mo ago
Editor's note

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.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (MIT)
  • Recently active
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/genieincodebottle/generative-ai && cp generative-ai/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.
Use cases

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
agentic-aiagentic-frameworkclaudegeminigenaigenai-usecasegenerative-aiinterview-questionslangchainlanggraphlarge-language-modelllm-agentllm-evaluationmcpmodel-context-protocolmultimodaln8nn8n-workflowopenai-apiretrieval-augmented-generation

What people ask about generative-ai

What is genieincodebottle/generative-ai?

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genieincodebottle/generative-ai is subagents for the Claude AI ecosystem. Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation. It has 2.4k GitHub stars and was last updated 1mo ago.

How do I install generative-ai?

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You can install generative-ai by cloning the repository (https://github.com/genieincodebottle/generative-ai) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is genieincodebottle/generative-ai safe to use?

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Our security agent has analyzed genieincodebottle/generative-ai and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains genieincodebottle/generative-ai?

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genieincodebottle/generative-ai is maintained by genieincodebottle. The last recorded GitHub activity is from 1mo ago, with 3 open issues.

Are there alternatives to generative-ai?

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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.

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