Sold by: DataArt
The DataArt Accelerator for AI/ML RAG-based applications helps 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.
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)
Combination of those components can be saved as assistant entities and leveraged by customer-facing applications via an API.
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 solution with pluggable components: vector DB, models, etc.
- Lightweight knowledge base management UI, and optimal Assistants configuration can be saved and called later
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
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Support
Vendor support
Reach out to discuss your AWS transformation needs:
email: Partnership.AWS@dataart.com