
RASA PRORasa Technologies
An enterprise grade generative conversational AI framework and infrastructure suite to help you scale, secure, and monitor your AI assistant.
Vendor
Rasa Technologies
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Product details
Simplify Complexity with CALM
CALM stands for Conversational AI with Language Models. It’s a generative AI native approach to building contextual AI assistants in Rasa Pro. With the core modules below, your AI Assistant can leverage language models to better understand and help your customers.
Dialogue Understanding
- Cutting-edge contextual conversation understanding
- Leverage language models to navigate nuanced customer journeys
- Handle common conversational patterns such as digression, correction, and disambiguation out of the box
Contextual Dialogue Manager
- Design and define user journeys and business processes with Flows
- Together with Dialogue Understanding, activate, and navigate between Flows based on customer requests
- Ensure customers are only exposed to pre-defined user journeys
Features
- **Secure: **Enterprise-grade security and privacy controls to keep your data, and your customer’s data safe. - PII Data Management solution to secure customer data and remain compliant - Daily Security Scanning to ship regularly patched Docker images - Secrets Management powered by Vault
- **Test: **Assess the quality of your Rasa Assistant performance to ensure each new release is confidently deployed with: - End-to-End Testing for comprehensive acceptance and integration testing - Load Testing Guidelines to demonstrate the resources required for Rasa Assistants operating at scale
- **Deploy: **Advance your deployment capabilities with Rasa Pro. - Deploy on-premises or in your private cloud with our Kubernetes Helm charts - Or choose Rasa-as-a-Service for a fully managed service running the Rasa Platform in your preferred cloud
- **Integrate: **Built-in Multi-Channel Connectors plus endpoints to connect with databases, APIs, voice IVRs, and other data sources.
- **Observe: **OpenTelemetry-based tracing to help you debug, resolve performance bottlenecks, and optimize LLM costs by tracking requests between different components of the system.
- **Analyze: **Track and visualize Rasa Assistant performance. - Use our conversation analytics pipeline to track assistant metrics in the tooling (BI tools, data warehouses) of your choice - Add Real-Time Markers to track key moments in your customer journeys for targeted analysis
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