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embeddings-js

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A NodeJS RAG framework to easily work with LLMs and custom datasets

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export function truncateCenterString(fullStr, strLen, separator) { if (fullStr.length <= strLen) return fullStr; separator = separator || '...'; var sepLen = separator.length, charsToShow = strLen - sepLen, frontChars = Math.ceil(charsToShow / 2), backChars = Math.floor(charsToShow / 2); return fullStr.substr(0, frontChars) + separator + fullStr.substr(fullStr.length - backChars); } export function cleanString(text) { text = text.replace(/\\/g, ''); text = text.replace(/#/g, ' '); text = text.replace(/\. \./g, '.'); text = text.replace(/\s\s+/g, ' '); text = text.replace(/(\r\n|\n|\r)/gm, ' '); return text.trim(); } export function stringFormat(template, ...args) { return template.replace(/{(\d+)}/g, function (match, number) { return typeof args[number] != 'undefined' ? args[number] : match; }); } export function historyToString(history) { return history.reduce((p, c) => { return p.concat(`${c.sender}: ${c.message}`); }, ''); } export function toTitleCase(str) { return str.replace(/\w\S*/g, function (txt) { return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase(); }); }