2025 Master Langgraph With Ollama - Agentic Chatbot And Rag

Master LangGraph, Ollama, and RAG for Cutting-Edge AI Solutions

What you'll learn

Langchain

Langgraph

Agents

Rag

Requirements

Python

Langchain

Basic math

Description

[THIS COURSE IS STILL IN DEVELOPMENT]BECOME EARLY BIRD TO ENROLL IN THIS COURSE Are you curious about how modern chatbots work? Do you want to learn how to create smart, efficient, and practical conversational AI systems? This course is perfect for beginners and professionals who want to dive into the exciting world of chatbots, agents, and Retrieval-Augmented Generation (RAG).This course focuses on LangGraph, a powerful framework for building conversational workflows, and Ollama, an advanced tool for managing language models. Together, they make building chatbots easier, faster, and more fun!Here’s what you’ll learn:LangGraph BasicsWhat is LangGraph, and why is it important?How to create workflows for chatbots.Building your first chatbot using LangGraph.Ollama for Language ModelsSetting up and using Ollama.Deploying and fine-tuning AI models for your chatbot.Best practices for managing models efficiently.Chatbots and AgentsThe difference between simple chatbots and intelligent agents.Designing agents that can understand and perform tasks.Using AI to make your chatbot smarter and more interactive.TO BE ADDED SOON…Retrieval-Augmented Generation (RAG)What is RAG, and why is it a game-changer?Adding knowledge retrieval to your chatbot.Building chatbots that can search and respond with accurate information.Real-World ProjectsStep-by-step examples to build chatbots for businesses.Hands-on projects like FAQ bots, customer support systems, and personal assistants.Deployment and ScalingHow to deploy your chatbot for real-world use.Tips for scaling and optimizing performance.By the end of this course, you’ll be able to:Build your own chatbot from scratch.Use LangGraph and Ollama confidently.Add knowledge retrieval to your bots with RAG.Solve real-world problems with intelligent agents.This course is beginner-friendly, but even experienced developers will find valuable insights. Start your journey into the world of conversational AI today!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Requirements.txt [MUST]

Section 2: Ollama Setup for Local LLM

Lecture 3 Install Ollama

Lecture 4 Touch Base with Ollama

Lecture 5 Inspecting LLAMA 3.2 Model

Lecture 6 LLAMA 3.2 Benchmarking Overview

Lecture 7 What Type of Models are Available on Ollama

Lecture 8 Ollama Commands - ollama server, ollama show

Lecture 9 Ollama Commands - ollama pull, ollama list, ollama rm

Lecture 10 Ollama Commands - ollama cp, ollama run, ollama ps, ollama stop

Lecture 11 Create and Run Ollama Model with Predefined Settings

Lecture 12 Ollama Model Commands - show

Lecture 13 Ollama Model Commands - set, clear, save and load

Lecture 14 Ollama Raw API Requests

Lecture 15 Load Uncesored Models for Banned Content Generation [Only Educational Purpose

Section 3: Getting Started with LangChain

Lecture 16 Langchain Introduction

Lecture 17 Lanchain Installation

Lecture 18 Langsmith Setup of LLM Observability

Lecture 19 Calling Your First Langchain Ollama API

Lecture 20 Generating Uncensored Content in Langchain [Only Educational Purpose]

Lecture 21 Trace LLM Input Output at Langsmith

Lecture 22 Going a lot Deeper in the Langchain

Section 4: LangGraph Getting Started

Lecture 23 LangGraph Introduction and Installation

Lecture 24 How State Machine Inspired LangGraph

Lecture 25 First Step Toward LangGraph Understanding

Lecture 26 Understanding LangGraph Example Code on High Level

Lecture 27 Going Deeper in LangGraph Graph Module

Lecture 28 Going Deeper in LangGraph ToolNode Module

Lecture 29 Your First Chatbot with LangGraph and Ollama Part 1

Lecture 30 Your First Chatbot with LangGraph and Ollama Part 2

Lecture 31 Your First Chatbot with LangGraph and Ollama Part 3

Section 5: Type Hinting and Data Validation | OOPs Concept to Work with LangGraph

Lecture 32 Why You Need to Know OOPs Concepts

Lecture 33 What is Parent and Child Classes

Lecture 34 What is Type Hinting

Lecture 35 Type Hinting Basic Part 1

Lecture 36 Type Hinting Basic Part 2

Lecture 37 Type Hinting with TypedDict

Lecture 38 Data Validation Using Pydantic Base Model

Lecture 39 Data Validation using Annotated

Section 6: Graph Definitions in LangGraph

Lecture 40 Graph Definitions in LangGraph

Section 7: Chatbot with LangGraph and Ollama | Baby Step Toward the Agent

Lecture 41 LangGraph Basic Chatbot Code Setup

Lecture 42 Tavily Search API Setup

Lecture 43 Chatbot System Design for Tool Calling

Lecture 44 Create Tools for Your Chatbot

Lecture 45 Build Your Chatbot with Tools

Lecture 46 Chatting with Your Chatbot

Lecture 47 Adding Memory to Your Chatbot

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