What is Contextual AI?
Contextual AI delivers a comprehensive platform for building and deploying production-grade RAG applications that process millions of pages of documents across regulated and security-conscious industries. The platform excels at transforming complex enterprise documents into actionable knowledge while maintaining strict security and compliance standards.
Powered by RAG 2.0, the platform pre-trains, fine-tunes, and aligns all components as an integrated system, enabling superior accuracy in document processing and information retrieval. The solution offers flexible deployment options, including fully managed SaaS, VPC, or on-premises installations, ensuring enterprise requirements are met at scale for entitlements, governance, and operational excellence.
Features
- Contextual RAG Agent: Unified retrieval and generation system for accurate responses
- Document Understanding: Advanced extraction pipeline for complex enterprise documents
- Specialization Engine: Customizable post-training techniques for specific needs
- Agent Templates: Pre-built agents for complex knowledge-intensive workloads
- Enterprise Security: Robust security controls and compliance features
- Flexible Deployment: Options for SaaS, VPC, or on-premises installation
Use Cases
- Financial report and market research analysis
- Regulatory and compliance document tracking
- Engineering documentation and design specification search
- Code repository access and documentation
- Expert call transcript synthesis
- Client deliverable and work product search
- Patent and legal document cross-referencing
FAQs
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What deployment options does Contextual AI offer?
Contextual AI offers flexible deployment options including fully managed SaaS, your Virtual Private Cloud (VPC), or on-premises installation. -
Which industries use Contextual AI?
Contextual AI is used across regulated and security-conscious industries, particularly in financial services, technology & engineering, and professional services. -
What is RAG 2.0?
RAG 2.0 is Contextual AI's innovative approach that pre-trains, fine-tunes, and aligns all components as a single integrated system, including extraction, retrieval, and generation.
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Contextual AI Uptime Monitor
Average Uptime
100%
Average Response Time
167.47 ms
