LangChain Learning Journey 🚀

This repository documents my step-by-step learning of LangChain, a framework for developing applications powered by large language models (LLMs). The goal is to explore LangChain’s core concepts, build small projects along the way, and ultimately develop a full-fledged application using LangChain.

- 📌 What You'll Find Here

- Fundamental Concepts:

• Models, Prompts, and Parsers
• Memory for LLMs
• Chains for processing input/output
• Question Answering with LangChain
• Agents for reasoning and decision-making
• Integration with vector stores and embeddings
• RAG (Retrieval-Augmented Generation) techniques

- Hands-On Notebooks:

-Step-by-step explanations and practical code examples

- Final Project:

-A real-world application leveraging LangChain