In this notebook we will be going over generating embeddings of movie descriptions with OpenAI and using those embeddings within Zilliz to find relevant movies. To narrow our search results and try something new, we are going to be using filtering to do metadata searches. The dataset in this example is sourced from HuggingFace datasets, and contains a little over 8 thousand movie entries.
Lets begin by first downloading the required libraries for this notebook:
openaiis used for communicating with the OpenAI embedding service
pymilvusis used for communicating with the Zilliz server
datasetsis used for downloading the dataset
tqdmis used for the progress bars