Welcome to the world of Agentic AI, where the power of LangChain and Google Gemini come together to create intelligent, context-aware systems. This repository documents my personal journey in building and experimenting with Agentic AI, from initial experiments to advanced applications.
This journey is divided into two main sections:
An introduction to Google Gemini and Google Generative AI. Here, you’ll see how I got started with basic AI tasks, fine-tuned parameters like temperature (set to 1.5 for extra creativity!), and learned to integrate image generation into prompts.
This section is all about building contextual, dynamic AI applications with LangChain. I dive into RAG (Retrieval-Augmented Generation) with Pinecone and combine multiple components to create intelligent workflows.
- 00 - Quick Start: Start here if you're new to AI! Get your hands on the basics, from simple responses to advanced creativity.
- 01 - LangChain: Once you're comfortable with the basics, move on to LangChain and explore how to build scalable, intelligent applications.
Each folder contains clear code examples, step-by-step instructions, and practical use cases that follow my evolving journey in Agentic AI.
Feel free to fork, clone, or simply explore the code and notebooks! You can also contribute if you have ideas, improvements, or want to collaborate.
License: MIT License