Agentic RAG

Retrieval agents are emerging as a transformative force. These systems, designed to bridge the gap between raw data and actionable insights, are redefining how machines interact with information. By combining context-aware reasoning, dynamic memory optimization, and multi-source integration, retrieval agents will revolutionize industries—from customer service to enterprise automation.

With the Nuclia Python SDK, developers can easily integrate AI agents into their workflows, unlocking new possibilities for intelligent automation.

Discover how the Progress Agentic RAG (formerly Nuclia) Data Augmentation Agents enhance your RAG strategy with personalized knowledge graphs, unlocking deeper insights and tailored solutions.

Llama-REMi-v1 outperforms IBM Granite-Guardian 3.1 in RAG evaluations, aligning closer to human judgment in relevance and groundedness.