Sold by: DataArtÂ
DataArt Accelerator for AI/ML RAG-based applications help speed up the implementation of chatbots, assistants, and other applications for Retail & CPG companies that require access to information unavailable to the large language model during its training.
Overview
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
Highlights
- Basic RAG search functionality available right after deployment is finished, built-in solution debug & evaluation features, rate limiting
- Speed to Market. AWS Cloud Solution Deployment in one hour, caching easily extendable solutions with pluggable components: vector DB, models, etc.
- Lightweight knowledge base management UI, and optimal Assistants configuration can be saved and called later
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
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Legal
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Support
Vendor support
Reach out to discuss your AWS transformation needs:
email: Partnership.AWS@dataart.comÂ
Software associated with this service
This is a repackaged open source software product with optional support from Meetrix.io.
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