Agentic RAG: Beyond Simple Retrieval with Orpius

Agentic Retrieval-Augmented Generation (RAG) represents the next evolution in how AI systems interact with data. While traditional RAG focuses on fetching relevant documents to answer a query, Agentic RAG empowers AI agents to autonomously determine what information is needed, where to find it, and how to verify its accuracy.

With Orpius, building Agentic RAG workflows is seamless. Agents can utilize the Web page retrieval tool to access real-time data, store findings in Isolated Storage, and use Secure Code Execution to perform complex data analysis or summarization. By leveraging Memory, Orpius agents maintain context across multiple retrieval steps, ensuring that the final output is not just a summary, but a reasoned conclusion based on diverse sources.

This shift from passive retrieval to active reasoning allows enterprises to automate deep research, competitive analysis, and complex decision-support systems with unprecedented reliability and security.