ContextClue VS Contextual AI

ContextClue Pricing

Contextual AI Pricing

ContextClue

• Text Summarization: Condenses content from reports and conversations into key insights
• Semantic Search: Context-aware information retrieval beyond keywords
• Document Generation: Automated creation of brand-aligned documents
• LLM-powered Data Analysis: Natural language queries for databases and BI dashboards
• Technical Documentation: Repository analysis and documentation generation
• Report Generation: Template-based automated report creation
• Data Security: On-premise deployment with customizable security protocols
• Flexible Integration: Compatible with various storage solutions and communication tools

Contextual AI

• 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

ContextClue Use Cases

• Legal and financial audit analysis
• Healthcare documentation management
• Academic research collaboration
• IT technical documentation
• Manufacturing quality control
• Marketing and sales reporting
• Code migration support
• Enterprise knowledge management

Contextual AI 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

ContextClue FAQs

• What LLMs does ContextClue use?

  By default, ContextClue uses GPT 3.5 Turbo, Llama, Mistral and Bedrock. Clients have the flexibility to replace these with other LLMs that better suit their needs, including both open-source and commercial options.
• How long does it take to integrate ContextClue?

  Integration time varies: a few hours for open-source LLMs as they must be downloaded and set up, and just a few minutes for commercial LLMs using ready-to-use APIs.
• How does ContextClue handle data security?

  ContextClue operates on the Client's infrastructure, ensuring data never leaves their environment. The platform monitors logs for maintenance but doesn't access client data directly.

Contextual AI FAQs

• 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.

Uptime Monitor

Uptime Monitor