Feb. 12, 2024, 3:40 p.m. | Ryan Michael

DEV Community dev.to

Creating a Retrieval-Augmented Generation (RAG) application allows you to leverage the capabilities of language models while grounding their responses in specific, reliable information you provide to the model.


This guide will walk you through building a RAG application using NextJS for the web framework, the OpenAI API for the language model, and Dewy as your knowledge base.


By the end of this tutorial, you'll understand how to integrate these technologies to reduce hallucinations in language model responses and ensure …

ai api application building capabilities chatbot framework guide information javascript language language model language models next.js openai openai api rag responses retrieval retrieval-augmented through tutorial web will

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist

@ Meta | Menlo Park, CA

Principal Data Scientist

@ Mastercard | O'Fallon, Missouri (Main Campus)