mirror of
https://github.com/hwchase17/langchain
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30 lines
817 B
Plaintext
30 lines
817 B
Plaintext
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# ScaNN
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>[Google ScaNN](https://github.com/google-research/google-research/tree/master/scann)
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> (Scalable Nearest Neighbors) is a python package.
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>
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>`ScaNN` is a method for efficient vector similarity search at scale.
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>ScaNN includes search space pruning and quantization for Maximum Inner
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> Product Search and also supports other distance functions such as
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> Euclidean distance. The implementation is optimized for x86 processors
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> with AVX2 support. See its [Google Research github](https://github.com/google-research/google-research/tree/master/scann)
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> for more details.
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## Installation and Setup
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We need to install `scann` python package.
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```bash
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pip install scann
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```
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## Vector Store
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See a [usage example](/docs/integrations/vectorstores/scann).
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```python
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from langchain.vectorstores import ScaNN
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```
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