RAG is the process of retrieving relevant contextual information from a data source and passing that information to a large language model alongside the user’s prompt. This information is …

Mar 28, 2025 · Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and …

Dec 8, 2023 · This notebook shows how to use LLMs in combination with Neo4j, a graph database, to perform Retrieval Augmented Generation (RAG).. Why use RAG? If you want to …

Nov 9, 2023 · In this comprehensive guide, you’ll learn how to implement a Retrieval-Augmented Generation (RAG) system using OpenAI’s API using LangChain. This tutorial will walk you …

Apr 8, 2025 · Discover how to leverage the OpenAI API to automatically generate comprehensive Knowledge Graphs from text documents. The session breaks down a powerful yet accessible …

Jan 28, 2025 · In this post, I'll show you how to create one step by step using Python and OpenAI. RAG helps AI give better answers by first finding relevant information from your documents …

Apr 20, 2024 · In this blog, we’ll embark on a journey to create a RAG (Retrieval-Augmented Generation) Question and Answer system. Don’t worry if the terms sound complex; we’re here …

Mar 21, 2025 · The OpenAI Responses API is a robust and versatile tool designed to streamline the development of Retrieval-Augmented Generation (RAG) systems. By automating intricate …

Jan 26, 2025 · With RAG, you can provide the latest or organization-specific data and train the RAG application with your own dataset. This training supplements the existing OpenAI model …

Jun 7, 2024 · This blog article explores the creation of an advanced OpenAI-based Retrieval-Augmented Generation (RAG) application to produce a highly intelligent and interactive assistant.