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Udemy - 2025 Agentic RAG with LangChain and LangGraph - Ollama 2025-5
Course modified date: 29 June 2025
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Course content
Sections:
9
•
Activities:
1
•
Resources:
68
- Announcements
- 1 Introduction
- 2 Code File and Install Requirements txt
- 3 Install Ollama
- 4 Touch Base with Ollama
- 5 Inspecting LLAMA 3 2 Model
- 6 LLAMA 3 2 Benchmarking Overview
- 7 What Type of Models are Available on Ollama
- 8 Ollama Commands ollama server ollama show
- 9 Ollama Commands ollama pull ollama list ollama rm
- 10 Ollama Commands ollama cp ollama run ollama ps ollama stop
- 11 Create and Run Ollama Model with Predefined Settings
- 12 Ollama Model Commands show
- 13 Ollama Model Commands set clear save and load
- 14 Ollama Raw API Requests
- 15 Load Uncesored Models for Banned Content Generation Only Educational Purpose
- 16 Langchain Introduction
- 17 Lanchain Installation
- 18 Langsmith Setup of LLM Observability
- 19 Calling Your First Langchain Ollama API
- 20 Generating Uncensored Content in Langchain Only Educational Purpose
- 21 Trace LLM Input Output at Langsmith
- 22 Going a lot Deeper in the Langchain
- 23 LangGraph Introduction and Installation
- 24 How State Machine Inspired LangGraph
- 25 First Step Toward LangGraph Understanding
- 26 Understanding LangGraph Example Code on High Level
- 27 Going Deeper in LangGraph Graph Module
- 28 Going Deeper in LangGraph ToolNode Module
- 29 Your First LangGraph Code with Ollama Part 1
- 30 Your First LangGraph Code with Ollama Part 2
- 31 Your First LangGraph Code with Ollama Part 3
- 32 Introduction
- 33 Introduction to OpenAI and Ollama Vision API
- 34 Why Do We Need Vision Models for RAG
- 35 Get The Image Description Using Ollama and LLAMA Vision
- 36 Get the Image Description Using LangChain Ollama and LLAMA Vision
- 37 How to Create OpenAI API Key
- 38 How to Use OpenAI API to Generate Image Description
- 39 Introduction to Doclings Document Loader
- 40 Introduction to LangChain Doclings
- 41 Convert PDF into MarkDown File using Lang Chain Docling
- 42 Convert Excel Sheet into Markdown
- 43 How to Use os walk to Read All Files from the Given Dir
- 44 Convert Entire Dir Documents into Markdown
- 45 Setting Up the Background for Enhanced Text Extraction from PDF or Docx Data
- 46 Write Code to Extract Image Description with LLM
- 47 Convert PDF with Images into MarkDown Text Data
- 48 Split MarkDown Page by Page with LangChain
- 49 Enrich MarkDown with Images Explanation using LLM
- 50 Compare Enriched Markdown with Bare MarkDown
- 51 Introduction to the Simplest RAG Architecture
- 52 Read Entire Markdown Files from a Directory
- 53 Documents Chunking
- 54 How to Use Ollama for Text Embeddings
- 55 Create Documents Embeddings
- 56 Documents Retrieval from the FAISS Vector Store
- 57 Store and Load FAISS Vector Store
- 58 Introduction to Agentic RAG
- 59 Why We Need Custom Retriever
- 60 Create Custom Retriever
- 61 How to Get Company Name in Runtime for Custom Retriever
- 62 Create Retriever Tool for Agent
- 63 Introduction to Agents Node
- 64 Create Document Grading Node
- 65 Create Rewrite and Generate Nodes
- 66 Create Agent Node
- 67 Create Agent Graphs
- 68 Agentic RAG in Action