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Neighborhood Graph and Tree for Indexing High-dimensional Data
NGT provides commands and a library for performing high-speed approximate nearest neighbor searches against a large volume of data (several million to several 10 million items of data) in high dimensional vector data space.
- 06/26/2019 Jaccard distance is available. (v1.7.6)
- 06/10/2019 PyPI NGT package v1.7.5 is now available.
- 01/17/2019 Python NGT can be installed via pip from PyPI. (v1.5.1)
- 12/14/2018 NGTQ (NGT with Quantization) is now available. (v1.5.0)
- 08/08/2018 ONNG is now available. (v1.4.0)
- Python
- Go
- C
- C++(sample code)
Copyright (C) 2015-2019 Yahoo Japan Corporation
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Yahoo Japan Corporation has acquired several patents on the technologies used in this software. However, the patent rights shall not be exercised under Apache License Version 2.0, only when the patented techniques are used with this software.
- Iwasaki, M., Miyazaki, D.: Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity. arXiv:1810.07355 [cs] (2018). (pdf)
- Iwasaki, M.: Pruned Bi-directed K-nearest Neighbor Graph for Proximity Search. Proc. of SISAP2016 (2016) 20-33. (pdf)
- Sugawara, K., Kobayashi, H. and Iwasaki, M.: On Approximately Searching for Similar Word Embeddings. Proc. of ACL2016 (2016) 2265-2275. (pdf)
- Iwasaki, M.: Applying a Graph-Structured Index to Product Image Search (in Japanese). IIEEJ Journal 42(5) (2013) 633-641. (pdf)
- Iwasaki, M.: Proximity search using approximate k nearest neighbor graph with a tree structured index (in Japanese). IPSJ Journal 52(2) (2011) 817-828. (pdf)
- Iwasaki, M.: Proximity search in metric spaces using approximate k nearest neighbor graph (in Japanese). IPSJ Trans. on Database 3(1) (2010) 18-28. (pdf)