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![rohanpaul_ai Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::2588345408.png) Rohan Paul [@rohanpaul_ai](/creator/twitter/rohanpaul_ai) on x 74K followers
Created: 2025-07-18 19:50:44 UTC

🧵 2/n.  Why constant space matters

Every document now carries the same vector count, so the index grows linearly with corpus size rather than document length.

Fixed length lets the database pack vectors into cache‑friendly blocks, which improves paging and SIMD throughput, and it roughly halves index size compared with unpooled ColBERT. 

This approach makes it:

- Easier to manage and scale in a vector database: All documents have uniform storage sizes, simplifying retrieval logic.

- More efficient for query-time processing: Avoids the overhead of variable-length comparisons, leading to better cache locality and SIMD optimizations.

- Compatible with real-world applications: Allows batch processing of documents without worrying about inconsistent representation sizes.

![](https://pbs.twimg.com/media/GwKg9K6acAA_gVn.png)

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