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HNSW / KNN Deep dive with Mayya Sharipova
I really enjoyed talking to Mayya Sharipova, an Elastic Engineer who been with the company for 7 years! She has worked on many parts of Lucene and Elasticsearch and in this episode we discuss how our HNSW implementation came to be, how KNN works and when you should use it vs Brute force and more talk about Speed, because it's so important to drive engagement with the apps our community and customers build on top of the Elasticsearch stack.
Show Notes:
https://www.elastic.co/search-labs/blog/elasticsearch-lucene-vector-database-gains
https://www.elastic.co/search-labs/blog/multi-graph-vector-search
https://www.elastic.co/search-labs/blog/how-to-deploy-nlp-text-embeddings-and-vector-search
https://www.elastic.co/guide/en/elasticsearch/reference/current/tune-knn-search.html
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By ElasticI really enjoyed talking to Mayya Sharipova, an Elastic Engineer who been with the company for 7 years! She has worked on many parts of Lucene and Elasticsearch and in this episode we discuss how our HNSW implementation came to be, how KNN works and when you should use it vs Brute force and more talk about Speed, because it's so important to drive engagement with the apps our community and customers build on top of the Elasticsearch stack.
Show Notes:
https://www.elastic.co/search-labs/blog/elasticsearch-lucene-vector-database-gains
https://www.elastic.co/search-labs/blog/multi-graph-vector-search
https://www.elastic.co/search-labs/blog/how-to-deploy-nlp-text-embeddings-and-vector-search
https://www.elastic.co/guide/en/elasticsearch/reference/current/tune-knn-search.html