LangChain-JS-Crash-course

This repository contains a series of example scripts showcasing the usage of Langchain, a JavaScript library for creating conversational AI applications.

• 00_basics.js: Introduces the basics of using the OpenAI API without Langchain.
• 01_first_chain.js: Demonstrates how to create your first conversation chain in Langchain.
• 02_simplesequentialchain.js: Provides a simple example of creating a sequential conversation chain.
• 03_sequentialchain.js: Gives a more detailed walkthrough of creating and utilizing a sequential conversation chain in Langchain.
• 04_parsers.js: Shows how to use parsers to process input and output in a conversation chain.
• 05_indexes.js: Explains how to create and use indexes in Langchain for efficient retrieval of information.
• 06_usestore.js: Guides on how to utilize the Vector Databases in Langchain for maintaining and retrieving information which was not trained into the model.
• 07_chat.js: Showcases how to create a chat bot in Langchain, forming the basis of a conversational AI application.
• 08_agents.js: Illustrates how to create and use agents in Langchain, which are autonomous entities that can interact within a conversation chain.

To run these examples, clone the git repository and run npm install to install die dependencies. You need to create a .env file and add your API Key for OpenAI like this: OPENAI_API_KEY=sk-...

This codes utilizes ES6 modules, to allow import statements and async/await within NodeJS.