Embeddings in Practice

To reduce the number of documents processed To ensure each chunk has a focused meaning To allow for easy modification of the documents To increase the length of each embedding

Only when a new model is available Only when the whole document is rewritten Whenever the text, chunking strategy, or model changes Re-embedding is not necessary once created

The model and its author The model's output size and the SQL column size The number of chunks and metadata The length of the original document and chunk

To track embedding accuracy To enable retrieval of the original document To update the embedding model easily To increase database performance