Your embeddings are float32. Somewhere in your app they get promoted to float64 and grow a tail of digits that mean nothing. You pay to store, ship, and parse every one of them.

Learn about Base64-encoded strings and the improvements it brings to vector ingestion in Elasticsearch.

ALT: Yoda's Pain, Suffering, and Death Meme

Owning a tablet Amazon kept shutting down: CVE-2022-38181, four AI models, five months

300+ in-person Fests plus a global online event, all about building with open source AI. Join a Fest near you this October.

Elastic vector indexing with NVIDIA cuVS GPU acceleration eliminates a critical barrier to successful enterprise-scale AI deployments, enabling organizations to vectorize massive volumes of unstructur...

Systematic analysis of how AI systems make decisions — from product recommendations to developer tool choices.

Two sub-1B multilingual embeddings with best-in-class performance, available on Elastic Inference Service, Llama.cpp and MLX.

Trick Gandalf into revealing information and experience the limitations of large language models firsthand.

ALT: a man with the words well that escalated quickly written on his face

jina-code-embeddings is a novel code embedding model suite designed to retrieve code from natural language queries, perform technical question-answering, and identify semantically similar code snippet...