In the constantly evolving realm of artificial intelligence, Retrieval-Augmented Generation (RAG) stands as a pivotal development, bridging the gap between knowledge retrieval and content ...

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model ...

This project demonstrates a simple flow of how user queries are processed using a vector database and a large language model (LLM) to generate accurate answers. The architecture follows the ...

For enterprises betting big on generative AI, grounding outputs in real, governed data isn’t optional—it’s the foundation of responsible innovation.

In today’s newsletter: Google Performance Max enables third-party brand safety measurement for YouTube; gen AI firms roll out new data-scraping bots to replace those blocked by publishers; and RAG ...

Gartner predicts that retrieval-augmented generation will play a pivotal role in mitigating issues with developing and deploying GenAI business apps.

Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies ...