About Contextual AI
Contextual AI is a specialized platform designed to help businesses rapidly build and deploy AI agents that perform retrieval-augmented generation (RAG) with exceptional accuracy. It supports reasoning over both structured and unstructured enterprise data, including multimodal documents and databases, enabling comprehensive understanding and contextual responses. The platform enhances customer experiences by delivering personalized, context-aware interactions and improves operational efficiency through intelligent automation of complex tasks. It integrates securely with existing enterprise systems and offers expert partnership to tailor AI solutions for high-value business use cases. Overall, it empowers organizations to leverage advanced AI for smarter decision-making, improved customer support, and streamlined workflows.
AI Agent Use Cases
• Autonomous AI agents on the Contextual AI platform can dynamically retrieve and reason over vast, multimodal enterprise datasets to provide precise, contextually relevant answers for customer support and technical queries. They can automate complex workflows such as product design validation, QA testing, and knowledge-intensive tasks by continuously learning from interactions and adapting responses in real time. These agents also enable businesses to maintain high accuracy and trust in AI-driven decisions by actively integrating structured and unstructured data sources while enforcing security and compliance.
Available Actions
These are the specific actions that AI agents can perform with this tool