Azure OpenAI

To use Azure OpenAI, you only need to set a few environment variables together with the OpenAI class.

For example:

Environment Variables

export AZURE_OPENAI_KEY="<YOUR KEY HERE>"
export AZURE_OPENAI_ENDPOINT="<YOUR ENDPOINT, see https://learn.microsoft.com/en-us/azure/ai-services/openai/quickstart?tabs=command-line%2Cpython&pivots=rest-api>"
export AZURE_OPENAI_DEPLOYMENT="gpt-4" # or some other deployment name

Installation

npm install llamaindex @llamaindex/openai

Usage

import { Settings } from "llamaindex";
import { OpenAI } from "@llamaindex/openai";
 
Settings.llm = new OpenAI({ model: "gpt-4", temperature: 0 });

Load and index documents

For this example, we will use a single document. In a real-world scenario, you would have multiple documents to index.

const document = new Document({ text: essay, id_: "essay" });
 
const index = await VectorStoreIndex.fromDocuments([document]);

Query

const queryEngine = index.asQueryEngine();
 
const query = "What is the meaning of life?";
 
const results = await queryEngine.query({
  query,
});

Full Example

import { Document, VectorStoreIndex, Settings } from "llamaindex";
import { OpenAI } from "@llamaindex/openai";
 
Settings.llm = new OpenAI({ model: "gpt-4", temperature: 0 });
 
async function main() {
  const document = new Document({ text: essay, id_: "essay" });
 
  // Load and index documents
  const index = await VectorStoreIndex.fromDocuments([document]);
 
  // get retriever
  const retriever = index.asRetriever();
 
  // Create a query engine
  const queryEngine = index.asQueryEngine({
    retriever,
  });
 
  const query = "What is the meaning of life?";
 
  // Query
  const response = await queryEngine.query({
    query,
  });
 
  // Log the response
  console.log(response.response);
}

API Reference

OpenAI