CampusX - LangChain Course

This repository is a hands-on collection of LangChain modules developed while learning Generative AI through the CampusX course.

📂 Repository Structure

• Langchain Chains – Chain implementations for LLM workflows
• Langchain Document Loaders – Loaders like CSVLoader for data ingestion
• Langchain Models – Integrated LLM models
• Langchain Output Parsers – Tools for structured output formatting
• Langchain Structured Outputs – Enforcing structured responses
• Langchain Prompts – Prompt templates and dynamic prompts
• Langchain Retrievers – Embedding-based document retrievers
• Langchain Runnables – Modular runnable components
• Langchain Text Splitters – Chunking logic for long texts
• Langchain Vector Stores – Vector DB integrations for semantic search
• Langchain RAG – Retrieval-Augmented Generation with Streamlit
• Langchain Tools – Custom tools like a Currency Converter
• Langchain Agents – AI Agents utilizing LLMs & Tools
• Langchain MCP – Model Context Protocol Interactions

🎯 Goal

To gain practical experience with LangChain components and workflows, including prompt engineering, RAG pipelines, and vector search.