The solution 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)

A combination of those components could be saved as assistant entities and leveraged by customer-facing applications via an API.

Retail & CPG use case examples:

• Customer Support Chatbots
• Virtual Shopping Assistants
• Personalized Product Recommendations
• Inventory Management Systems
• In-Store Assistant Apps
• Dynamic Product Search
• Cross-Selling and Up-Selling Tools
• Real-Time Product Information Retrieval
• Automated Customer Service Responses
• Feedback and Review Analysis
• Training and Knowledge Management Systems
• Market Trend Analysis
• Competitor Analysis Tools
• Demand Prediction Systems
• E-commerce Manager Co-Pilots