Add vector_search function for pipeline aggregation

Devasy23 / FaceRec

An advanced facial recognition system designed for real-time identification using deep learning models and optimized vector search. Features include face detection, embedding generation, and scalable deployment options.

Apache License 2.0

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Add vector_search function for pipeline aggregation #30

Closed Devasy23 closed 3 months ago

Devasy23 commented 6 months ago

This pull request adds a new function called vector_search to the Database class in database.py. The vector_search function performs a pipeline aggregation vector search on the MongoDB Atlas database using the provided embedding. It returns a list of results with the name, image, and score of the closest matches. This functionality is useful for performing similarity searches based on face embeddings.