Abstract: Techniques for video content searches are described herein. In accordance with various embodiments, a server includes a processor and a non-transitory memory, where the server hosts a natural language processing (NLP) search engine with a model pretrained to derive sentence embeddings. The NLP search engine obtains additional data related to media content. The NLP search engine further provides the additional data to the model to retrain the model, including modifying parameters of the model of the NLP search engine to correlate vectors representing the additional data with the sentence embeddings derived by the model prior to the retraining The NLP search engine also stores the vectors for searches of the media content.