Contextual AI Blog
Stay current with our latest product updates, insights, and AI research.
Introducing custom roles: Flexible access control for users and groups
Contextual AI now offers custom RBAC. Gain granular security control and operational efficiency with flexible, reusable roles for users and groups.
Explore Our Insights
AgentLens: The Future of Evaluation is Agentic
Static evaluation fails for evolving AI. Learn how AgentLens, a dynamic, multi-agent system, provides the continuous learning and deep insights your AI product needs
An Agentic Alternative to GraphRAG
The new Metadata Search Tool is an agentic alternative to GraphRAG. It solves RAG reference traversal and unlocks powerful multi-hop reasoning.
Why Diagnostic Metrics Matter for Agent Evaluations at Scale
Traditional AI evaluations fail at scale, providing only pass/fail metrics without revealing why models break or what to fix across thousands of test cases. LMUnit solves this with a diagnostic evaluation system that identifies specific failure patterns and introduces the WeightedLMUnitScore metric, enabling teams to pinpoint and prioritize improvements efficiently when testing AI models at enterprise scale.
User feedback and annotation is now built into the Contextual AI Platform
Contextual AI Summer Product Updates
Open-Sourcing Reranker v2
Contextual AI Announces Strategic Partnerships with Leading RSIs to Accelerate Enterprise AI Adoption
Context Engineering for your MCP Client
