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2025 Master LangGraph with Ollama - Agentic Chatbot and RAG - OneDDL - 12-24-2024
![[Image: ebd62a3f7c2f1466be37681a1990dce3.jpeg]](https://i124.fastpic.org/big/2024/1220/e3/ebd62a3f7c2f1466be37681a1990dce3.jpeg)
Free Download 2025 Master LangGraph with Ollama - Agentic Chatbot and RAG
Published: 11/2024
Created by: Laxmi Kant | KGP Talkie
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 47 Lectures ( 4h 58m ) | Size: 2.5 GB
Master LangGraph, Ollama, and RAG for Cutting-Edge AI Solutions
What you'll learn
Langchain
Langgraph
Agents
Rag
Requirements
Python
Langchain
Basic math
Description
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!
Who this course is for
GenAI Beginners
CS students
Leaders in AI
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