2025 Master Langchain and Ollama – Chatbot, RAG and Agents

سرفصل های دوره

Master Langchain v0.3, Local LLM Projects, Ollama, DeepSeek, LLAMA 3.2, Ollama Chatbot, Ollama and Langchain Tutorial

1 - Introduction

1 - Install Ollama

2 - Touch Base with Ollama

3 - Inspecting LLAMA 32 Model

4 - LLAMA 32 Benchmarking Overview

5 - What Type of Models are Available on Ollama

6 - Ollama Commands ollama server ollama show

7 - Ollama Commands ollama pull ollama list ollama rm

8 - Ollama Commands ollama cp ollama run ollama ps ollama stop

9 - Create and Run Ollama Model with Predefined Settings

10 - Ollama Model Commands show

11 - Ollama Model Commands set clear savemodel and loadmodel

12 - Ollama Raw API Requests

13 - Load Uncesored Models for Banned Content Generation Only Educational Purpose

2 - Getting Started with Langchain

14 - Langchain Introduction

15 - Lanchain Installation

16 - Langsmith Setup of LLM Observability

17 - Calling Your First Langchain Ollama API

18 - Generating Uncensored Content in Langchain Educational Purpose

19 - Trace LLM Input Output at Langsmith

20 - Going a lot Deeper in the Langchain

3 - Chat Prompt Templates

21 - Why We Need Prompt Template

22 - Type of Messages Needed for LLM

23 - Circle Back to ChatOllama

24 - Use Langchain Message Types with ChatOllama

25 - Langchain Prompt Templates

26 - Prompt Templates with ChatOllama

4 - Chains

27 - Introduction to LCEL

28 - Create Your First LCEL Chain

29 - Adding StrOutputParser with Your Chain

30 - Chaining Runnables Chain Multiple Runnables

31 - Run Chains in Parallel Part 1

32 - Run Chains in Parallel Part 2

33 - How Chain Router Works

34 - Creating Independent Chains for Positive and Negative Reviews

35 - Route Your Answer Generation to Correct Chain

36 - What is RunnableLambda and RunnablePassthrough

37 - Make Your Custom Runnable Chain

38 - Create Custom Chain with chain Decorator

5 - Output Parsing

39 - What is Output Parsing

40 - What is Pydantic Parser

41 - Get Pydantic Parser Instruction

42 - Parse LLM Output Using Pydantic Parser

43 - Parsing with withstructuredoutput method

44 - JSON Output Parser

45 - CSV Output Parsing CommaSeparatedListOutputParser

46 - Datetime Output Parsing

6 - Chat Message Memory How to Keep Chat History

47 - How to Save and Load Chat Message History Concept

48 - Simple Chain Setup

49 - Chat Message with History Part 1

50 - Chat Message with History Part 2

51 - Chat Message with History using MessagesPlaceholder

7 - Make Your Own Chatbot Application

52 - Introduction

53 - Introduction To Streamlit and Our Chat Application

54 - Chat Bot Basic Code Setup

55 - Create Chat History in Streamlit Session State

56 - Create LLM Chat Input Area with Streamlit

57 - Update Historical Chat on Streamlit UI

58 - Complete Your Own Chat Bot Application

59 - Stream Output of Your Chat Bot like ChatGPT

8 - Document Loaders Projects on PDF Documents

60 - Introduction to PDF Document Loaders

61 - Load Single PDF Document with PyMuPDFLoader

62 - Load All PDFs from a Directory

63 - Combine All PDFs Data as Context Text

64 - How Many Tokens are There in Contex Data

65 - Make Question Answer Prompt Templates and Chain

66 - Ask Questions from Your PDF Documents

67 - Summarize Your PDF Documents

68 - Project 3 Generate Detailed Structured Report from the PDF Documents

9 - Document Loaders Stock Market News Report Generation

69 - Introduction to Webpage Loaders

70 - Load Unstructured Stock Market Data

71 - Make LLM QnA Script

72 - Catastrophic Forgetting of LLM

73 - Break Down Large Text Data Into Chunks

74 - Create Stock Market News Summary for Each Chunks

75 - Generate Final Stock Market Report

10 - Document Loaders Microsoft Office Files Reader and Projects

76 - Introduction to Unstructured Data Loader

77 - Load PPTX Data with DataLoader

78 - Process PPTX data for LLM

79 - Generate Speaker Script for Your PPTX Presentation

80 - Loading and Parsing Excel Data for LLM

81 - Ask Questions from LLM for given Excel Data

82 - Load DOCX Document and Write Personalized Job Email

11 - Document Loaders YouTube Video Transcripts and SEO Keywords Generator

83 - Load YouTube Video Subtitles

84 - Load YouTube Video Subtitles in 10 Mins Chunks

85 - Generate YouTube Keywords from the Transcripts

12 - Vector Stores and Retrievals

86 - Introduction to RAG Project

87 - Introduction to FAISS and Chroma Vector Database

88 - Load All PDF Documents

89 - Recursive Text Splitter to Create Documents Chunk

90 - How Important Chunk Size Selection is

91 - Get OllamaEmbeddings

92 - Document Indexing in Vector Database

93 - How to Save and Search Vector Database

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تولید کننده: Udemy