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Graph-based approximate nearest neighbor search (ANNS) algorithms work effectively against large-scale vector retrieval.
Approximate nearest neighbor queries in fixed dimensions
Arya, S., and Mount, D. M · 1993
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Datasets for approximate nearest neighbor search, 2010
Amsaleg, L., and Jegou, H · 2010
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Product quantization for nearest neighbor search
Jegou, H., Douze, M., and Schmid, C · 2010
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Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs
Malkov, Y. A., and Yashunin, D. A · 2018
Earlier work this paper cites.
Diskann: Fast accurate billion-point nearest neighbor search on a single node
Jayaram Subramanya, S., Devvrit, F., Simhadri, H. V., Krishnawamy, R., and Kadekodi, R · 2019
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering
Karpukhin, V., Oguz, B., Min, S., Wu, L., Edunov, S., Chen, D., and Yih, W · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., et al · 2020
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KILT: a benchmark for knowledge intensive language tasks
Petroni, F., Piktus, A., Fan, A., Lewis, P., Yazdani, M., De Cao, N., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., Plachouras, V., Rocktäschel, T., and Riedel, S · 2021
Cited alongside, same era.
Freshdiskann: A fast and accurate graph-based ann index for streaming similarity search
Singh, A., Subramanya, S. J., Krishnaswamy, R., and Simhadri, H. V · 2021
Cited alongside, same era.
Milvus: A purpose-built vector data management system
Wang, J., Yi, X., Guo, R., Jin, H., Xu, P., Li, S., Wang, X., Guo, X., Li, C., Xu, X., Yu, K., Yuan, Y., Zou, Y., Long, J., Cai, Y., Li, Z., Zhang, Z., Mo, Y., Gu, J., Jiang, R., Wei, Y., and Xie, C · 2021
Cited alongside, same era.
LangChain, Oct. 2022
Chase, H · 2022
Cited alongside, same era.
Text embeddings by weakly-supervised contrastive pre-training, 2022
Wang, L., Yang, N., Huang, X., Jiao, B., Yang, L., Jiang, D., Majumder, R., and Wei, F · 2022
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Filtered-diskann: Graph algorithms for approximate nearest neighbor search with filters
Gollapudi, S., Karia, N., Sivashankar, V., Krishnaswamy, R., Begwani, N., Raz, S., Lin, Y., Zhang, Y., Mahapatro, N., Srinivasan, P., et al · 2023
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Lm-diskann: Low memory footprint in disk-native dynamic graph-based ann indexing
Pan, Y., Sun, J., and Yu, H · 2023
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Neurips’23 competition track: Big-ann, 2023
Simhadri, H., Aumüller, M., Baranchuk, D., Douze, M., Ingber, A., Liberty, E., Liu, F., and Williams, G · 2023
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DiskANN: Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search, 2023
Simhadri, H. V., Krishnaswamy, R., Srinivasa, G., Subramanya, S. J., Antonijevic, A., Pryce, D., Kaczynski, D., Williams, S., Gollapudi, S., Sivashankar, V., Karia, N., Singh, A., Jaiswal, S., Mahapatro, N., Adams, P., Tower, B., and Patel, Y · 2023
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Weaviate, 2022
Dilocker, E., van Luijt, B., Voorbach, B., Hasan, M. S., Rodriguez, A., Kulawiak, D. A., Antas, M., and Duckworth, P · 2022
Cited alongside, same era.
Later among the works it cites.
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