A Generative Al Engineer is tasked with developing a RAG application that will help a small internal group of experts at their company answer…

DBRX Instruct is an open-weights, state-of-the-art large language model released under Apache-2.0. Because the weights can be downloaded and run entirely on the customer’s own Databricks cluster, no prompts or retrieved documents ever leave the organization, satisfying the strict regulatory requirement against third-party data transfer. Compared with smaller open models (e.g., Mistral 7B, Dolly 2.0) it delivers markedly higher accuracy—crucial when latency and cost are secondary. GPT-4 or other hosted APIs would yield top quality but violate the no-external-transmission rule. Therefore, DBRX Instruct uniquely meets all constraints: maximum answer quality, on-prem/private deployment, and acceptable performance for a small user base.

1. Databricks. “DBRX Model Card,” Sections 1 & 4: “Weights released under Apache 2.0… can be run entirely within your VPC for full data privacy.” (April 2024)

2. Databricks Blog. “Introducing DBRX: The Most Capable Open LLM,” paragraphs 5-8: discusses state-of-the-art accuracy versus other open models and suitability for RAG. (https://www.databricks.com/blog/2024/03/27/introducing-dbrx)

3. Eisenstat et al., “Self-Hosted Large Language Models for Privacy-Preserving Retrieval-Augmented Generation,” IEEE ICDE 2024, pp. 128-129: highlights that on-prem models eliminate third-party data exposure. https://doi.org/10.1109/ICDE55695.2024.00023