A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Generative search prioritizes factual grounding over regional intent, making retrieval-aware content strategy critical for ...

For Tektome, a Tokyo-based AI startup, the partnership with Haseko serves as a key case study in its mission to be the “AI copilot” for architecture and construction. Its platform, tailored for ...

Answer Engine Optimization, known as AEO, is emerging as a core strategy for visibility in a search environment where ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

The criticisms aimed at the technology — the lack of reliability, data leakage, inconsistency — offer a playbook for growing ...

The future of AI isn’t in a distant server farm – it’s in your pocket, finally awake, and it doesn’t need Wi-Fi to prove it, finds Satyen K. Most people don’t have a clue how the “magic” on their ...