Papers with ANN index
Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases (2025.emnlp-main)
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| Challenge: | Upgrading embedding models in production environments requires re-encoding the entire corpus and rebuilding the Approximate Nearest Neighbor (ANN) index. |
| Approach: | They propose a lightweight, learnable transformation layer designed to bridge embedding spaces between models by mapping new queries into the legacy embeddable space. |
| Outcome: | The proposed transformation layer recovers 95–99% of the retrieval recall of a full re-embedding, adding less than 10,s query latency. |