Udemy – Master LangGraph and LangChain with Ollama- Agentic RAG 2024-12

Published on: 2024-12-13 00:33:18

Categories: 28

Description

Master LangGraph and LangChain with Ollama- Agentic RAG is a course on the concept of Retrieval-Augmented Generation (RAG) and how it can enhance the capabilities of AI applications published by Udemy Online Academy. This is an advanced course aimed at developers and AI enthusiasts who want to explore the powerful combination of LangGraph, LangChain, and Ollama. The course explores the concept of Retrieval-Augmented Generation (RAG) and how it can enhance the capabilities of AI applications, especially in the areas of natural language processing and knowledge retrieval. It covers the integration of LangChain for seamless workflow coordination, LangGraph for graph-based data management, and Ollama for deploying and managing AI models.

Key points of this course include LangGraph, LangChain, Ollama, Retrieval-Augmented Generation (RAG), AI applications, natural language processing, knowledge retrieval, graph-based data, agent-based applications, model customization, and real-time querying. Individuals will gain hands-on experience building complex, agent-driven applications that are capable of querying and utilizing vast knowledge bases in real time. The course also explores customizing and fine-tuning AI models to meet specific use cases, helping individuals master this cutting-edge technology.

What you will learn in Master LangGraph and LangChain with Ollama- Agentic RAG:

Set up and manage local LLMs with Ollama
Build dynamic, active-memory chatbots using LangGraph
Integrate AI with the database for intelligent MySQL query execution
Create RAG workflows using private datasets and embeds
And…

Course specifications

Publisher: Udemy
Instructors: Laxmi Kant | KGP Talkie
Language: English
Level: Advanced
Number of Lessons: 75
Duration: 8 hours and 16 minutes

Course topics

Master LangGraph and LangChain with Ollama- Agentic RAG Content

Master LangGraph and LangChain with Ollama- Agentic RAG Prerequisites

Basic programming knowledge (preferably in Python).
A computer with internet access and the ability to install software.
Familiarity with databases and basic query writing (optional but helpful).
Basic Langchain experience is needed