A practical guide to selecting HNSW hyperparameters
Vector search plays a crucial role in many machine learning (ML) and data science pipelines. In the context of large language models (LLMs), vector search powers retrieval-augmented... Read more.
Reduce costs with disk-based vector search
Vector search has gained significant attention in the area of information retrieval thanks to advances in natural language embedding models. These models map domain-specific... Read more.
Boosting k-NN exact search performance
Exact k-nearest neighbor (k-NN) search in OpenSearch allows you to define custom scoring functions to retrieve documents based on their proximity to a query vector.... Read more.
Build K-Nearest Neighbor (k-NN) Similarity Search Engine with Elasticsearch
This post was imported from the Open Distro For Elasticsearch blog, a predecessor project of OpenSearch. Information reflected in this post may not be... Read more.
