Category: Retrieval-augmented generation

New Dual‑Loop Retrieval‑Augmented Generation Agent Boosts UAV Situation‑Awareness Accuracy

A research team has unveiled an improved retrieval‑augmented generation (RAG) system—IRAG‑UAVSA—that dramatically raises the reliability of automated UAV situation‑awareness reporting. By adding a dual‑loop iterative retrieval process, the agent reaches 93.0% knowledge coverage while slashing hallucinations to just…

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New Dual‑Loop Retrieval‑Augmented Generation Model Boosts UAV Situation‑Awareness Accuracy

A research team has unveiled an improved retrieval‑augmented generation (RAG) system—IRAG‑UAVSA Agent—designed to generate evidence‑grounded reports for low‑altitude UAV security operations. The model introduces a dual‑loop iterative retrieval process that fetches and validates external knowledge before prompting the…

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Retrieval‑Augmented Generation Gains Momentum with New Gemini File Search and Retrieve‑for‑Train Techniques

Key developments: 2026 sees RAG moving from academic concepts to production tools. n8n’s October 8 release adds Google Gemini’s File Search stores, letting developers create, list, delete, and upload documents for real‑time RAG pipelines directly within the workflow platform.…

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