Barqawiz

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

Barqawiz

const { SemanticSearch } = require('intellinode');

// apikey from openai.com
const search = new SemanticSearch(apiKey);

// pivotItem is the item to search.
// searchArray is the array of strings to search through.
const results = await search.getTopMatches(pivotItem, searchArray, numberOfMatches);
const filteredArray = search.filterTopMatches(results, searchArray)

Barqawiz

const { Chatbot, ChatGPTInput } = require('intellinode');

// set the api key for openai
const chatbot = new Chatbot(apiKey, 'openai');

// set the system mode and the user message.
const input = new ChatGPTInput('You are a helpful assistant.');
input.addUserMessage('What is the distance between the Earth and the Moon?');

// get the responses from the chatbot

Barqawiz

const {RemoteLanguageModel,LanguageModelInput} = require('intellinode');

const textModelInput = 'Write a creative product description for gaming chair with black and red colors';
const textProductDesc = await generateProductDescription(textModelInput, MyKeys.cohere, 'cohere', 'command');

// common function to use it with any text generation
async function generateProductDescription(textInput, apiKey, modelBackend, modelName) {
  const langModel = new RemoteLanguageModel(apiKey, modelBackend);
  const results = await langModel.generateText(new LanguageModelInput({
    prompt: textInput,

Barqawiz

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

Barqawiz

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

Barqawiz

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)

Barqawiz

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, 

Barqawiz

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