Generative Ai — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Generative Ai. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Mar 26, 2026 • Sentiment updated: Unknown

GitHub Statistics

Why Generative Ai Stands Out

This project provides comprehensive resources for learning Generative AI, including a detailed roadmap, practical use cases, and interview preparation, making it a valuable asset for anyone looking to get started or advance their skills in this field.

Built With

Jupyter Notebook, Langchain, Langgraph, n8n, OpenAI API

Getting Started

  1. Star this repository
  2. Explore GenAI Roadmap
  3. Learn AI/ML fundamentals
  4. Practice with AI-ML Companion
  5. Read Essential GenAI Terms

About

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

Official site: https://aimlcompanion.ai/

Category & Tags

Category: multi-agent

Tags: agentic-ai, agentic-framework, claude, gemini, genai, genai-usecase, generative-ai, interview-questions, langchain, langgraph, large-language-model, llm-agent, llm-evaluation, mcp, model-context-protocol, multimodal, n8n, n8n-workflow, openai-api, retrieval-augmented-generation