Optimizing OpenSearch with Faiss FP16 scalar quantization: Enhancing memory efficiency and cost-effectiveness
The rise of large language models (LLMs) and generative AI has ushered in a new era of natural language processing capabilities. Vector databases have emerged as... Read more.
Byte-quantized vectors in OpenSearch
Until now, the OpenSearch k-NN plugin has supported the indexing and querying of vectors of type float, with each vector element occupying 4 bytes. This can be expensive... Read more.
