USING TYPESCRIPT AND RAG TO ENHANCE USER QUERIES FROM A TEXT DATASET

Summary from the TLDR Web Dev newsletter

This article explains how to implement Retrieval Augmented Generation (RAG) in TypeScript and React to create a chatbot that can answer questions about content from a large text dataset by retrieving relevant information from a vector database and providing it to an LLM.