This repository are a series of demonstration scripts highlighting the functionalities of LangChain, a JavaScript library tailored for developing conversational AI applications.
0-basics.js: Presents the fundamentals of utilizing the OpenAI API independently of LangChain.1-first_chain.js: Exhibits the process of establishing the initial conversation chain using LangChain.2-simplesequentialchain.js: Offers a straightforward example of constructing a sequential conversation chain.3-sequentialchain.js: Provides a comprehensive guide to creating and employing a sequential conversation chain in LangChain.4-parsers.js: Demonstrates the implementation of parsers for processing input and output within a conversation chain.5-indexes.js: Expounds on the creation and utilization of indexes in LangChain for efficient data retrieval.6-usestore.js: Offers guidance on leveraging Vector Databases in Langchain for storing and retrieving additional information not present in the model.7-chat.js: Showcases the creation of a chat bot in LangChain, serving as a foundational element for conversational AI applications.8-agents.js: Illustrates the creation and utilization of agents in LangChain, autonomous entities capable of interacting within a conversation chain.
To execute these examples, clone the git repository and execute pnpm install to install the required dependencies. Additionally, create a .env file and insert your OpenAI API Key in the format: OPENAI_API_KEY=sk-....
These codes leverage ES6 modules, enabling import statements and utilizing async/await functionalities within NodeJS.
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