AIML Tutorial Repository

A comprehensive collection of tutorials covering LangChain, LangGraph, Model Context Protocol (MCP), and Semantic Kernel frameworks for building AI/ML applications.

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Table of Contents

• Overview
• Repository Structure
• Tutorials Navigation
  • LangChain
  • LangGraph
  • MCP Tutorial
  • Semantic Kernel
• Getting Started
• Prerequisites

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Overview

This repository contains practical tutorials and examples for:

• LangChain: Building applications with LLM chains, RAG, and agents
• LangGraph: Creating state-based agentic workflows and multi-step processes
• MCP (Model Context Protocol): Implementing servers and semantic kernel integrations
• Semantic Kernel: Building plugins and AI-powered agents with Microsoft's framework

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Tutorials Navigation

LangChain

LangChain tutorials covering fundamentals to advanced use cases.

Fundamentals

• Basic model interactions
• Getting started with LangChain
• Basic conversation setup

Chat Models

• Working with chat models
• Model-based conversations

Prompt Engineering

• Basic prompt templates
• Chat model prompt templates

Chains

• Basic chain operations
• Extended chain functionality
• Parallel chain execution
• Branching logic in chains

Advanced Features

• Streaming responses
• Structured output handling

RAG (Retrieval-Augmented Generation)

• RAG basics
• RAG search functionality
• RAG with metadata
• Metadata-based RAG search
• RAG-powered chatbot

Agents

• Basic agent setup
• Structured agent outputs
• Agent context management
• Agent middleware

📁 Location: ./Langchain/

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LangGraph

LangGraph tutorials for building state machines and agentic workflows.

Getting Started

• Introduction to LangGraph
• Basic concepts and setup

Core Concepts

• Routing logic in graphs
• State checkpointing
• Memory and state management
• Working with multiple schemas

Advanced Topics

• Message filtering and trimming
• Message summarization
• Streaming workflow responses
• Interruption handling
• Time travel and state replay
• Parallel execution
• Using subgraphs
• Map-reduce patterns
• Memory store implementation

Project Structure

📁 Location: ./Langgraph Tutorial/

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MCP Tutorial

Model Context Protocol implementations and integrations.

Projects

• Console-based MCP implementations (SSE and STDIO servers)
• Standard MCP server implementation
• Integration with Semantic Kernel
• Server-Sent Events (SSE) MCP server

Key Topics

• SSE-based server implementation
• Standard I/O server implementation
• Tool definitions and handlers

📁 Location: ./MCPTut/

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Semantic Kernel

Microsoft Semantic Kernel tutorials for building AI plugins and agents.

Fundamentals

• Getting started with Semantic Kernel
• Using Ollama with Semantic Kernel

Plugins

• Creating and using plugins
• Ollama-specific plugins

Integrations

• Azure OpenAI integration
• Image-to-text processing

Advanced Features

• Agent framework implementation
• Google Search integration

Additional Projects

• Hand digit recognition project
• Process framework examples
• GitHub models integration

📁 Location: ./SemanticKernelTut/

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