updatedwith correct version for AVX512 release

Signed-off-by: Noah Staveley <[email protected]>

Author: noahstaveley

_search-plugins/knn/knn-index.md

@@ -51,7 +51,7 @@ Starting with k-NN plugin version 2.16, you can use `binary` vectors with the `f
 
 ## SIMD optimization for the Faiss engine
 
-Starting with version 2.13, the k-NN plugin supports [Single Instruction Multiple Data (SIMD)](https://en.wikipedia.org/wiki/Single_instruction,_multiple_data) processing if the underlying hardware supports SIMD instructions (AVX2 on x64 architecture and Neon on ARM64 architecture). SIMD is supported by default on Linux machines only for the Faiss engine. SIMD architecture helps boost overall performance by improving indexing throughput and reducing search latency.
+Starting with version 2.13, the k-NN plugin supports [Single Instruction Multiple Data (SIMD)](https://en.wikipedia.org/wiki/Single_instruction,_multiple_data) processing if the underlying hardware supports SIMD instructions (AVX2 on x64 architecture and Neon on ARM64 architecture). SIMD is supported by default on Linux machines only for the Faiss engine. SIMD architecture helps boost overall performance by improving indexing throughput and reducing search latency. Starting with version 2.18, the k-NN plugin supports AVX512 on x64 architecture. 
 
 SIMD optimization is applicable only if the vector dimension is a multiple of 8.
 {: .note}