Evaluating RAG Quality: Groundedness and Hallucination
Four RAG evaluation metrics drive enterprise AI quality: precision, recall, groundedness, and answer quality. Here is how to measure each one in…
Read Article
Category
Category: Data & Artificial intelligence (AI)
Enterprise Vector Search and RAG Knowledge Base Design
Enterprise vector search depends on chunking, embeddings, index pattern, and freshness. Here is how to make each decision drive better RAG retrieval…
Read Article
Permission-Aware RAG Architecture for Regulated Firms
Permission-aware RAG enforces identity filtering at retrieval time, not UI render. Where the filter sits, how to model row-level security, and what…
Read Article
Model Context Protocol (MCP) for Enterprise AI Agents
Model Context Protocol enterprise guide: what MCP replaces, how to secure it under NIST AI RMF and SR 11-7, and which integrations…
Read Article
Multi-Agent Framework Selection for Regulated Firms
Multi-agent framework selection is a compliance decision first. Score candidates on governance, integration, and operations before developer experience.
Read Article
Multi-Agent Orchestration Patterns for Enterprise AI
Three multi-agent orchestration patterns cover enterprise AI workflows: router, planner-executor, and swarm. Compare latency, audit, and failure cost tradeoffs.
Read Article
Agent Boundaries: Permissions, Thresholds, Escalation
Every enterprise AI agent needs four agent boundaries: data scopes, tool whitelists, confidence thresholds, and escalation rules. Here is how each one…
Read Article
Enterprise RAG Architecture: The Reference Model
Enterprise RAG architecture adds four layers consumer RAG skips: permission-aware retrieval, multimodal ingestion, groundedness scoring, audit compliance.
Read Article
Agentic AI for Enterprise: Architecture & Governance
Agentic AI for enterprise works when three layers run together: architecture patterns, agent boundaries, and governance. See how to deploy each layer.
Read Article
Enterprise AI Governance Framework: A Reference Structure for Regulated Enterprises
An enterprise AI governance framework maps controls to regulations across the AI lifecycle. Here's how to structure one that scales to agentic…
Read Article