Agentic AI takes efficiency to the next level as it builds on existing AI platforms with human-like decision-making, ...

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

Artificial intelligence is evolving beyond simple pattern recognition and content generation into autonomous decision-making.

The potential of multi-agent systems is a significant opportunity for many businesses in different fields, but there are ...

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

SubQuery has launched their new AI App Framework, designed to enable future growth of Agentic AI in a decentralised way and solve challenges posed by centralised alternatives.

Another example, agentic RAG, expands the resources available to the LLM to include tools and functions as well as external knowledge sources, such as text databases. Large language models often ...

Its agentic RAG framework lets companies implement RAG for agents and ... integration faster and simpler by adding more flow templates, pre-built and configured patterns for implementing specific ...

Since its launch as a way to simplify building retrieval-augmented generation (RAG) applications, it has grown into a framework for building and managing agentic AI. At Ignite in 2024, Microsoft ...

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 ...