Desenvolvimento de um protótipo para gestão de conhecimento utilizando Lunr.js

Abstract

This work has as general objective to develop a simplified prototype to demonstrate the use of Javascript as a platform for knowledge management of a persona representing the application in a company. The work is based on the use of three main technologies: Lunr.js, Google Firebase and React. Lunr.js is a full-text search library that allows indexing and searching documents in JSON format in the browser, using queries that combine the best results. The work proposes to develop a knowledge management system for a fictional company called TechSolve, which offers development solutions. The system aims to allow the company’s employees to find and access information quickly and effectively, using Lunr.js to perform full-text queries on the documents stored in Firebase. The work also intends to generate a database with possible questions and answers that simulate a company, using generative artificial intelligence. The work is divided into six specific objectives: to study the Lunr.js library; implement a mock-up of functionality in React and Typescript; connect to Firebase with an example database; generate the database with generative artificial intelligence; validate the integration with Lunr.js; and describe the development of the mock-up and the possibilities of using the technology in other projects and contexts. The work expects to contribute to the field of knowledge management, showing how Javascript can be used as an efficient and scalable tool to index and search documents in JSON format in the browser, using the Lunr.js library. The work also expects to demonstrate how Google Firebase and React can be integrated to create a secure and dynamic knowledge management system for a fictional company.