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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 8 months ago
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      README.md

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README.md

@ -74,3 +74,11 @@ Query embedding in Faiss
**Returns:** *Entity*
Return the results in Faiss with `key` and `score`.
# More Resources
- [Zilliz Triumphed in Billion-Scale ANN Search Challenge of NeurIPS 2021 - Zilliz Newsroom; Zilliz Triumphed in Billion-Scale ANN Search Challenge of NeurIPS 2021](https://zilliz.com/news/zilliz-triumphed-Neurips-2021): Zilliz team has won the first place in the Disk-based ANN Search track in NeurIPS 2021. The performance of BBAnn developed by Zilliz research team peaked during the search in the SimSearchNet++ dataset.
- [What is Faiss (Facebook AI Similarity Search)? - Zilliz blog](https://zilliz.com/learn/faiss): Faiss (Facebook AI similarity search) is an open-source library for efficient similarity search of unstructured data and clustering of dense vectors.
- [What is approximate nearest neighbor search (ANNS)?](https://zilliz.com/glossary/anns): Learn how to use Approximate nearest neighbor search (ANNS) for efficient nearest-neighbor search in large datasets.
- [Setting Up With Facebook AI Similarity Search (FAISS) - Zilliz blog](https://zilliz.com/blog/set-up-with-facebook-ai-similarity-search-faiss): Here's your FAISS tutorial that helps you set up FAISS, get it up and running, and demonstrate its power through a sample search program.
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