While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true ...

OpenAI’s index-free retrieval-augmented generation (RAG) system dynamically processes documents in real time, eliminating the need for static embeddings or vector stores, allowing highly ...

Also: OpenAI is training GPT-4's successor. Here are 3 big upgrades to expect from GPT-5 But users of Gen AI's large language models, especially enterprises, may care more about a balanced ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain.

The OpenAI Responses API simplifies Retrieval-Augmented Generation (RAG) systems by automating processes like document chunking, embedding, and retrieval, allowing seamless integration with LLMs ...