Fast-Track Traveler and Guest Engagement with DataArt RAG-Based AI Accelerators
DataArt's TRAG, an Accelerator for AI/ML RAG-based applications in Travel and Hospitality, built on Amazon Web Services (AWS), revolutionizes traveler and guest engagement by streamlining interactions and improving response times with AI-driven efficiency.
Speed up implementation of chat bots, assistants, and other applications that require access to information that was not available to the large language model during its training. Handle routine queries automatically, enabling your team to focus on delivering personalized experiences.
Reducing Airport Request Handling Time by 95%: Case Study
Boost Efficiency and Customer Satisfaction with Minimal Setup
Achieve up to 99% accuracy
in user query responses, enhancing satisfaction and retention through faster and more reliable interactions.
Reduce manual workload by over 90%
allowing staff to focus on high-value tasks and significantly boosting operational efficiency.
Unlock significant cost savings
by automating processes, reducing reliance on manual intervention, and realizing a substantial ROI as the solution scales with your business growth.
Out-of-the-Box Solution to Power Your Travel Business
The accelerator automates the undifferentiated heavy-lifting of creating project infrastructure and provides the project team with a web application to experiment with the following components of a RAG-based solution:
- Document collections
- Indices
- Retrieval configuration (which indices to use and how)
- Generation configuration (models and prompts)
Combination of those components could be saved as assistant entities and leveraged by customer-facing applications via an API.
