Retrieval-Augmented Generation Tutorial
Master RAG for Your Enterprise
USE CASE 1
The Research Answer Engine (RAE) from Pryon and Dell Technologies houses insights from MEDLINE as well as private research literature, such as internal unpublished research papers. RAE can ingest terabytes of unstructured, multiformat research data from these papers — including text, images, and even handwritten diagrams — and transform that data into accurate answers. With RAE, insights from public and private research are delivered in less than a second, with links back to the source document(s).
USE CASE 2
Pryon can help catalyze many processes involved in the development of new drugs and the evaluation of their efficacy. Researchers can use RAE to retrieve information from chemical databases, biological data, and images to assist with generative molecular design. Next, they can use trusted data to help with efforts such as compound design, drug-target interaction prediction, and adverse effects prediction. Every answer is delivered with attribution to the source, so researchers can quickly see where the information came from and collect additional context.
USE CASE 3
Doctors and other healthcare professionals spend much of their time creating personalized treatment guides and educational materials for their patients. Pryon can help accelerate this work by sourcing trustworthy answers from medical literature and helping providers understand key information about their patients, such as biomarkers and past results. The result: more tailored treatments and better relationships between patients and their care providers.
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