RAG Systems Model (MongoDB)

RAG systems Utilize a vector search algorithm that searches a mathematical space in a database where chunks store vectors.

These vectors have many dimensions, with each representing a parameter such as V(Param_k) represents k number of params. High dimensionality is good for accuracy but increases latency. Atlas Search Query uses an embedding model that needs a path that can be configured using PyMuPDF or similar Py packages.