Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.
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Beyond RAG: Why every AI search platform is now agentic and what that means for your content
Two and a half years ago, I wrote an article for Search Engine Land about how retrieval-augmented generation (RAG) was the future of search. That piece argued that RAG was not Google’s reactive answer ...
Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents. At first glance, ...
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and ...
In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
Artificial intelligence is a rapidly evolving field and understanding its core principles is essential for anyone looking to engage with its applications or development. In her latest feature, Maddy ...
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