Enterprise Knowledge Base on AWS with RAG

An application for search based on the information in an enterprise knowledge base through the deployment of interface nodes, including large language models (LLMs).

  • B2B
  • analytics
  • GenAI
  • AWS
Peiwen's project - Enterprise Knowledge Base on AWS with RAG - image sample 1

Technical Sheet

  • TypeScript, React
  • CloudScape lib

About this project

This Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the deployment of interface nodes, including large language models (LLMs). You can combine services to give answers to questions based on your enterprise knowledge base with a search engine that provides word segmentation search, fuzzy queries, and artificial intelligence (AI) assisted capabilities. This Guidance also includes methods such as manual labeling, unsupervised clustering, supervised classification, and an LLM to extract guide words. Deploying this Guidance can help you automatically split documents into paragraphs with embedded vectors to further establish a structured enterprise knowledge base.

Project duration: 2023-6 - 2024-6

Resources