Vector search for knowledge graphs

The idea is to help clinicians and researchers easily get an overview of the landscape of clinical research trials in a certain field. They just have to input a general description of a disease, such as "A disease that affects young patients, generally male Caucasians". We get the diseases whose description is more similar to that statement by means of the embeddings of their descriptions. Then, we use a knowledge graph to represent the relationships between diseases to find the most similar diseases to the ones the user is interested in. This way, we can do data augmentation and find more clinical trials that are related to the diseases the user is interested in. We can then use a language model to summarize the clinical trials and extract numerical data from them.