Embedding storage growing fast

Embedding storage grows faster than many teams expect because every new document, chunk, version, and index layer adds overhead. At first the growth seems harmless, then storage and retrieval costs begin to creep into the operating budget.

The hidden issue is that not all embeddings are equally valuable. Some data should be compacted, some should be expired, and some should be restructured so the system stores less noise and more signal.

Good storage discipline comes from lifecycle management, not just bigger infrastructure. If the data is never cleaned up, the index keeps growing long after the product value has plateaued.