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How would you design a database schema to efficiently store and query embeddings generated from text data in an NLP application?

To store embeddings efficiently, I would use a relational database with a table for the text data, including fields for the text, its metadata, and a separate embeddings table that…

HW
How would you design a database schema to efficiently store and query embeddings generated from text data in an NLP application?

COVER // HOW WOULD YOU DESIGN A DATABASE SCHEMA TO EFFICIENTLY STORE AND QUERY EMBEDDINGS GENERATED FROM TEXT DATA IN AN NLP APPLICATION?

To store embeddings efficiently, I would use a relational database with a table for the text data, including fields for the text, its metadata, and a separate embeddings table that references the text’s unique ID. For faster queries, I would implement indexing on the embeddings using either a vector store or an approximate nearest neighbor search approach.

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