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- This cookbook guides you through building dynamic, multi-tool workflows using OpenAI's Responses API. It demonstrates how to implement a Retrieval-Augmented Generation (RAG) approach that intelligently routes user queries to the appropriate in-built or external tools.cookbook.openai.com/examples/responses_api/responses_api_tool_orchestration
Retrieval Augmented Generation (RAG) and Semantic Search for …
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 …
See results only from help.openai.comMulti-Tool Orchestration wit…
Web Search Preview Tool: Enables the model to perform live web searches and …
RAG with a Graph databas…
This notebook shows how to use LLMs in combination with Neo4j, a graph …
Fine-Tuning for retrieval aug…
Fine-tune OpenAI models for specific use-cases and use Qdrant to improve the …
Integrating RAG and Timest…
I’ve been deeply exploring artificial consciousness using the existing …
Build your first RAG using Python / ChromaDB / OpenAI
Mar 18, 2024 · This post is a tutorial to build a QnA for the MET museum’s Egyptian art department, by creating a RAG implementation using Python, ChromaDB and OpenAI. It is, however, written in steps. If...
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Multi-Tool Orchestration with RAG approach using OpenAI's …
Mar 28, 2025 · Web Search Preview Tool: Enables the model to perform live web searches and preview the results. This is ideal for retrieving real-time or up-to-date information from the …
A beginner's guide to building a Retrieval Augmented …
Retrieval Augmented Generation, or RAG, is all the rage these days because it introduces some serious capabilities to large language models like OpenAI's GPT-4 - and that's the ability to use and leverage their own data. This post will …
RAG with a Graph database | OpenAI Cookbook
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 use LLMs to generate answers based on your own …
Retrieval Augmented Generation (RAG) from Scratch …
6 days ago · Imagine RAG is like giving an AI its own personal research librarian before it answers your questions. Here's how the magic happens: Document Collection: You provide your documents (company manuals, articles, books) …
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Implementing a Retrieval-Augmented Generation …
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 through setting up the...
Fine-Tuning for retrieval augmented generation (RAG) …
Sep 4, 2023 · Fine-tune OpenAI models for specific use-cases and use Qdrant to improve the performance of your RAG model; Get started on how to evaluate the performance of your RAG model
New tools for building agents - OpenAI
Mar 11, 2025 · This research preview model set a new state-of-the-art record, achieving 38.1% success on OSWorld (opens in a new window) for full computer use tasks, 58.1% on WebArena (opens in a new window), and 87% on …
Implementing a Retrieval-Augmented Generation …
Oct 14, 2024 · In this article, we’ll walk through the essentials of building a RAG model using an OpenAI Large Language Model (LLM) as the backbone for the generative component. We’ll discuss the architecture,...
Building a Retrieval-Augmented Generation (RAG) …
Oct 7, 2024 · Utilize Retrieval-Augmented Generation (RAG) Models for Smarter Solutions using LangChain, LlamaIndex, and OpenAI. As the demand for more intelligent, AI models increases, so does the need...
Building a simple RAG application using OpenAI, LangChain, and …
May 10, 2024 · Implementation of the Retrieval-Augmented Generation (RAG) model, capable of retrieving pertinent information from the knowledge base, and generating accurate answers.
Building Your First RAG System with Python and OpenAI
Jan 28, 2025 · Hey there! 👋 Are you interested in building your own RAG (Retrieval Augmented Generation) system? In this post, I'll show you how to create one step by step using Python …
Retrieval Augmented Generation(RAG) tutorial using OpenAI and …
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 …
Create Retrieval-Augmented Generation using OpenAI API
Sep 13, 2024 · Retrieval-augmented generation (RAG) is a technique that enhances generative models by retrieving relevant information from external data sources to improve the accuracy …
AI-Driven RAG Systems: Practical Implementation With …
3 days ago · Retrieval-augmented generation (RAG) is revolutionizing artificial intelligence by combining powerful generative AI models with sophisticated information retrieval systems.
Implementing Retrieval Augmented Generation (RAG) with Azure …
Jul 7, 2024 · Retrieval Augmented Generation (RAG) is a powerful technique that integrates external information into your LLM, resulting in more accurate and fact-based responses. In …
Understanding Retrieval-Augmented Generation (RAG) with OpenAI
Sep 17, 2024 · This post dives into how RAG works and walks through an example using OpenAI's API to create a simple RAG-based system. What is Retrieval-Augmented …
Retrieval Augmented Generation (RAG) using .NET and OpenAI …
Oct 30, 2024 · In this article, we will build a simple RAG tool in .NET that uses OpenAI assistant feature to “talk” to a resume file. Our tool will answer questions based on actual data from the …
Integrating RAG and Timestamping in AI Systems: A Minimal …
3 days ago · I’ve been deeply exploring artificial consciousness using the existing Transformer + Memory + Reinforcement learning frameworks. Through experimentation and practical …
Power of RAG and OpenAI’s Function-Calling for Question
Jul 20, 2023 · Retrieval-Augmented Generation (RAG) is a new approach to question-answering that combines the strengths of extractive and generative question-answering models. RAG …
RAG with an OpenAI model: Creating an advisor with custom data
Mar 7, 2024 · Addressing the challenge of enhancing AI interactions for businesses, our solution introduces a RAG AI system. This system overcomes the limitations of current AI interfaces by …
Retrieval-Augmented Generation (RAG) Systems with OpenAI
RAG allows AI systems to retrieve relevant information from external databases, knowledge repositories, or other data sources, and then generate contextually accurate responses using …
Building Graph-Based RAG Applications Just Got Easier
2 days ago · As a JavaScript developer, what non-React tools do you use most often? ... Building Graph-Based RAG Applications Just Got Easier Apr 4th 2025 9:00am, ... OpenAI API Now …
Building a Retrieval-Augmented Generation (RAG) Pipeline with …
Nov 5, 2024 · In this post, we’ll build a RAG pipeline using LangChain, OpenAI, and FAISS. I’ll walk you through each step, from setting up the environment to implementing the pipeline and …
Kickstarting AI Agent Development with Synthetic Data: A GenAI …
6 days ago · Instead of waiting months for a data-wrangling project before testing AI Agent feasibility, you can bootstrap your efforts with synthetic data using Azure OpenAI. This lets you …
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