Native integrations reduce setup time and ongoing maintenance by making it easy to ingest, index, and continuously ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

In today’s data-driven world, efficient data retrieval has become critical for organizations striving to maintain a competitive edge. Slow retrieval processes and high operational costs are common ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...

OpenAI has acquired Rockset, developer of a high-powered data search and analytics database that will become part of the data retrieval infrastructure underlying its generative AI software products.

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a given condition.

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Forward-looking: Researchers around the world are embracing DNA-based storage right now. Mixing digital data and biology could bridge the best of both worlds, though a few challenges are still slowing ...