But few agree on what they actually do. In January, OpenAI released Operator, an agent that can browse the web, book travel ...

agents and agentic AI. These terms are confusing. All the more so as the players do not yet agree on how to develop and deploy them. This is much less true for retrieval augmented generation (RAG ...

Inaccurate output that raises legitimate questions about what AI to trust, and when. During a monster search of AI vendors, I fell deep into content on RAG and agentic evaluation. I challenged all ...

Its agentic RAG framework lets companies implement RAG ... pre-built and configured patterns for implementing specific types of integrations much faster without coding, and more connectivity.

As autonomous AI agents become the new digital workforce, the systems watching them are evolving from passive monitors to ...

The tool is powered by an agentic AI workflow that incorporates Retrieval-Augmented Generation (RAG). Compliance rules, guidelines and ad specifications can be uploaded to the compliance checker ...

The first new feature, Agentic Retrieval, enhances the RAG process by using an LLM to ... It offers prebuilt flow templates and patterns for common use cases such as extract/load/transform ...

Use Case: Augmented Call Center The augmented call center use case demonstrates how the Teradata Enterprise Vector Store uses agentic AI and RAG to transform customer service to be faster ...