/langchain-tutorial

Primary LanguageJupyter Notebook

LANGCHAIN_TUTORIAL

This is a tutorial for the LangChain project.

Introduction

This tutorial will guide you through the process of setting up a LangChain component and using it to create a simple LLM APP.

Components

This tutorial will cover the following Langchain components:

  1. LLM & Chat
  2. Prompt
  3. Indexes
  4. Chains
  5. Memory
  6. Agents

Prerequisites

  • Python 3.9 or higher
  • Ollama - local language model server
  • Poetry - Python dependency management tool

Installation

  1. Clone the repository
  2. Install Ollama - see link
  3. Install Poetry - see link
  4. Setup virtual environment 
    python -m venv .venv
  5. Activate virtual environment 
    source .venv/bin/activate
  6. Install dependencies 
    poetry install
  7. pull llama-3 model - This will download the model from the Ollama server (can take a while depending on the model size) 
    ollama pull llama3
  8. Run Jupyter Notebook 
    jupyter notebook