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This search model processes a query to generate targeted enquiries across various literature repositories. The retrieved documents are then passed to a large language model (LLM) and become the foundation for generating accurate responses to subsequent questions.
The current minimal working example utilizes PubMed to retrieve five relevant papers, providing a summary for each. Future enhancements could include expanding the range of repositories, refining query generation, and improving how the summary is generated. The application is hosted in the cloud and exploits the OpenChat model (`turbo-3.5`) for its operations.
This is an experimental implementation.