Tag: Agentic RAG

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.

Imagine sitting in front of your computer, asking a complex question that pulls information from reports, meeting notes, videos and even audio or video snippets. Instead of receiving a fragmented set of responses, you get a single coherent answer—a response backed by traceable sources, enriched with context, and supported by everything your organization knows. This isn't a dream of the future. It's what the NucliaDB database makes possible today.

Introducing Llama-REMi v1: Faster, smarter RAG evaluation with improved alignment, speed, and usability. Now available via Nuclia’s Understanding API! 🚀