Retrieval Augmentation Generation Application (RAG) POC

EPAM's RAG POC on Databricks offers a Retrieval Augmented Generation application, combining semantic search with large language models to enhance GenAI responses using your own data. With Databricks and EPAM, set up infrastructure quickly to manage unstructured data, optimize knowledge retrieval, and assess application performance—all aimed at ensuring consistent, high-quality results and maximizing ROI. The 4 to 6 week RAG POC leverages EPAM's expertise and resources for robust, scalable LLM applications providing a POC within 4 to 6 weeks.

Data product scaling & productization

Leveraging our core engineering DNA, we help our clients develop and modernize their data product ecosystems on the Databricks platform. 

Data management & governance

With our extensive experience in data management and governance, we use the Databricks platform to create hybrid cloud deployments, enable data sharing and simplify data architecture and design.

AI & ML Deployment

With our expertise in artificial intelligence (AI) and ML, we launch large-scale ML models that run lead calculations, analytics predictions and targeted advertising campaigns. 

Robust technology ecosystem 

We collaborate with leading software companies to help integrate the Databricks platform into our clients’ unique tech stacks.