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Thistle: A Vector Database in Rust

arXiv 2303.16780 ↗First posted 25 Mar 2023cs.IR cs.AIcited by 0

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Abstract (arXiv)

We present Thistle, a fully functional vector database. Thistle is an entry into the domain of latent knowledge use in answering search queries, an ongoing research topic at both start-ups and search engine companies. We implement Thistle with several well-known algorithms, and benchmark results on the MS MARCO dataset. Results help clarify the latent knowledge domain as well as the growing Rust ML ecosystem.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 9 references that are in the map. First posted on arXiv 25 Mar 2023.

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References · 5

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2018Deep contextualized word representationscited by 2,285
  4. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,591
  5. 2014word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding methodcited by 109

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