bobvanluijt

# STEP 1
$ sudo apt update && \
sudo apt -qq -y install \
    gcc \
    make \
    software-properties-common \
    apt-transport-https \
    ca-certificates \
    curl \
    git \

bobvanluijt

[
    "Product A",
    "Product B",
    "Product C",
    "Product D"
]

bobvanluijt

{
  "Paragraph": [
    {
      "inDocument": [
        {
          "number": "NEN-EN 15774 en",
          "title": "Food processing machinery - Machines for processing fresh and filled pasta (tagliatelle, cannelloni, ravioli, tortellini, orecchiette and gnocchi) - Safety and hygiene requirements"
        },
        {
          "number": "NEN-EN 13621 en",

bobvanluijt

{
  "Paragraph": [
    {
      "_additional": {
        "answer": {
          "certainty": 0.76,
          "result": "50 mm"
        }
      },
      "inDocument": [

bobvanluijt

{
  Get {
    Paragraph (
      ask: {
        question: "what is the distance between the frame and the outside wall of the bowl?",
        properties: ["text"]
      }, 
      limit:1
    ){
      text

bobvanluijt

{
  Get {
    Paragraph (
      limit: 3 # show the first three results
      nearText: {
        concepts: ["machines to make pasta"] # the semantic query
        certainty: 0.6 # between 0.0 and 1.0, the higher the certainty the more the document should match the query
      }){
      inDocument {
         ... on Document {

bobvanluijt

[
  {
    "class": "Document",
    "properties": [
      {
        "name": "title",
        "dataType": [
          "string"
        ]
      },

bobvanluijt

{
  Get {
    Publication {
      name
      _additional {
        vector
      }
    }
  }
}

bobvanluijt

// https://pages.mtu.edu/~suits/notefreqs.html
// https://pages.mtu.edu/~suits/NoteFreqCalcs.html

// create web audio api context
var audioCtx = new(window.AudioContext || window.webkitAudioContext)();
// microtonal division
var microtonalDiv = 24;
var c4 = 261.6256;

bobvanluijt

// takes an array of vectors and outputs a single mean vector
function meanVector(inputVectors) {

  // sum up each dimension in a single “sum” vector
  sums = new Array(dimensions(inputVectors))
  for i = 0; i < dimensions(inputVectors); i ++ {
    for j = 0; j < inputVectors.length(); j ++ {  
      sums[i] += inputVectors[j][i]
    } 
  }