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const search = new SemanticSearch(apiKey, 'cohere');

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{
  'openai/gpt-4': [
    {
      prediction: '<model-output>',
      score_cosine_similarity: <score>,
      score_euclidean_distance: <score>
    }
  ],
  'cohere/command': [
    {

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function drawScene2(planet, data) {

    // data ranges; kept only first 3 comparison parameters
    var comparisonData = [{
            parameter: 'Equilibrium Temperature',
            earth: {
                min: 273.15,
                max: 373.15
            },
            planet: +planet.pl_eqt

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function drawScene1(data) {

    // prepare color scale
    var colorScale = d3.scaleSequential()
        .domain([2018, 2023])
        .interpolator(d3.interpolateOranges);

    // create SVG for the visualization
    var svg = d3.select("#visualization").append("svg")
        .attr("width", 800)

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const llmEvaluation = new LLMEvaluation(openaiChatKey, 'openai');

async function testLLMEvaluation() {
  const userInput = "<add your question or prompt here>";

  // add idea answers, the more you add the better
  const targetAnswers = ["<ideal answer 1>",
                         "<ideal answer 2>"];

  // the models set to compare

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const openaiChat = { 
    apiKey: openaiKey, 
    provider: SupportedChatModels.OPENAI, 
    type: 'chat', 
    model: 'gpt-4', 
    maxTokens: 50
};

const cohereCompletion = { 
    apiKey: cohereKey, 

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const { LLMEvaluation, SupportedChatModels, SupportedLangModels } = require('intellinode');

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export REPLICATE_API_KEY=<your-replica-key>
export OPENAI_API_KEY=<your-openai-key>
# optional - if you deployed Llama sagemaker ednpoint
export AWS_API_URL=<sagemaker-url>

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// When copying the code to the same file, ensure removing the repeated imports
const { Chatbot, ChatGPTInput, ChatGPTMessage } = require('intellinode');

app.get('/chatgpt', async (req, res) => {
 const chatbot = new Chatbot(process.env.OPENAI_API_KEY, 'openai');

 const system = 'You are a helpful assistant.';
 const input = new ChatGPTInput(system);
 input.addUserMessage(req.query.message);

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// When copying the code to the same file, ensure removing the repeated imports
const { Chatbot, LLamaSageInput, SupportedChatModels } = require('intellinode');

app.get('/llama/aws', async (req, res) => {
 const chatbot = new Chatbot(null, SupportedChatModels.SAGEMAKER, {url: process.env.AWS_API_URL});

 const system = 'You are a helpful assistant.';
 const input = new LLamaSageInput(system);
 input.addUserMessage(req.query.message);