Building Dynamic Knowledge Bases for Technical Documentation Through Retrieval Augmented Generation with Amazon Bedrock

Renaldi Gondosubroto

Renaldi Gondosubroto

Renaldi Gondosubroto is the Project Lead of GReS Studio, a company that promotes the concept of the Internet of Things by creating solutions for problems around the community while utilizing the concept. Leading his team of individuals that share the same passion as him with the IoT concept, he leads his company with the vision of being able to have an interconnected world where both individuals and companies can share big data with one another. Starting from just a hobbyist of programming in different languages including Python from a very young age, he eventually decided to venture into working within the IoT technology sector when he created an innovation to help combat a problem all around us which everyone encounters in their daily lives: air pollution. Throughout his time leading his company, Renaldi enjoys sharing his experiences regarding practices and trends that he believes are of importance to develop and navigate through the technologies of today.

    Abstract

    In the continuously changing realm of technology, where updates are constant and rapid, maintaining accurate and up-to-date technical documentation is a challenge that is all to familiar by developers. This talk introduces an innovative approach to revolutionizing technical documentation through implementing Retrieval Augmented Generation (RAG) capabilities of Amazon Bedrock. We will explore how RAG can dynamically update knowledge bases by retrieving relevant information from a variety of data sources and walk through how to implement such a solution to ensure that technical documentation remains accurate, comprehensive, and reflective of the latest advancements within the codebase and the organization.

    Description

    Location

    R2

    Date

    Day 1 • 03:30-04:15 (UTC)

    Language

    English talk

    Level

    Intermediate

    Category

    Machine Learning