Using a Vector Database to Search White House Speeches

This tutorial demonstrates how to use semantic search with a vector database to analyze speeches given by the Biden administration during their first two years in office. The dataset used is "The White House (Speeches and Remarks) 12/10/2022" found on Kaggle. The process involves cleaning the data, setting up a vector database using Milvus Lite, getting vector embeddings from speeches, populating the vector database, and performing semantic searches based on descriptions. Semantic search allows for finding speeches with similar content rather than just matching exact phrases or sentences.

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