Democratizing reliable knowledge-seeking with MyGPT: a privacy-first, open-source retrieval-augmented generation platform

Large language models (LLMs) have transformed knowledge discovery, but their use in sensitive domains is limited by privacy concerns and risks of data leakage. Moreover, LLMs may hallucinate when queried about information outside their training data, undermining their reliability for scientific, clinical, or policy-related tasks. We present MyGPT, a fully open-source, privacy-preserving retrieval-augmented-generation (RAG) platform that uses open-source LLMs and operates locally or within secure institutional environments.

MyGPT empowers users to query user-defined libraries such as…

We thank the domain experts, Drs. Balaji Santhanam, Katarina Nemec, Preethi Badrinarayan, Ben Leslie, Kalyan Immadisetty, and Benjamin Lang for their assistance in creating the Q&A datasets used for benchmarking the biomedical literature and public d... [2161 chars]