Alternatives
Products that do what An update-aware approach to incremental sorting (DeltaSort) does
Paper (PDF): https://github.com/shudv/deltasort/blob/main/paper/main.pdf I’ve been exploring a variant of the sorting problem where the sort routine knows about which indices were updated since the previous sort. This situation arises in many practical systems: large sorted lists that are read frequently, updated in small batches, and where the update pipeline already knows which positions changed (e.g., UI lists, leaderboards). Despite this most systems either re-sort the entire array or apply independent binary insertions or perform…
- 1SP
2019 · wtracy.gitlab.io
- 2IQ
2017 · illustrated-algorithms.now.sh
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- 5RE
2017 · retool.in
- 6HI
2013 · heapanalytics.com
- 7IV
2017 · caspervonb.github.io
- 8FE
2021 · github.com
- 9HB
2014 · quicksort-heap.herokuapp.com
- 10HJ
2014 · heapsortjobs.com
- 11SL
2015 · github.com
- 12LS
This is a big update from the GraphRAG team! Significantly reduces the cost and speeds up indexing for GraphRAG all without much degradation in performance. Check it out!
2024 · microsoft.com
- 13CM
2017 · github.com
- 14AW
2022 · sort.bullinger.dev
- 15CF
2018 · github.com
- 163M
2020 · qvault.io
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Oct 2025 · github.com
- 19DA
2017 · supraniti.github.io
- 20PO
2017 · github.com
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Dec 2025 · github.com
- 22IB
2019 · github.com
- 23VS
2017 · caspervonb.github.io
- 24WB
Hi HN, Our research team just released the best performing and most efficient reranker out there, and it's available now as an open weight model on HuggingFace. Reranker v2 was designed specifically for agentic RAG, supports instruction following (our v1 was the first to introduce this), and is multilingual. Along with this, we're also open source our eval set, which allows you to reproduce our benchmark results. By releasing these datasets, we are also advancing instruction-following reranking evaluation, where high-quality benchmarks are currently limited. Please give it a try and let us…
2025 · huggingface.co
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