An introduction to the concepts related to vector database.
Why consensus-based replication algorithm is not the silver bullet for achieving data consistency in distributed databases?
What are embeddings and how are they used in modern ML algorithms and pipelines
We aim to supercharge the development of applications that require embeddings and other ML tasks.
Cheatsheet for BERT, XLNet, RoBERTa, ALBERT, StructBERT, T5, and ELECTRA.
Discover how indexes dramatically accelerate vector similarity search, different index types, and how to choose the right index for your AI application.
From Siri to chatbots, from virtual support agents to knowledge graphs, the applications NLP are ubiquitous in our daily life.
Blazing Fast, Highly Scalable Text-to-Image Search with CLIP embeddings and Milvus
Easiest ways to perform image-to-image and text-to-image similarity search.
Learn how to use a vector database to build an intelligent video deduplication system.
An easy and integrated filtering solution to make vector similarity search even faster and more accurate.
Get more inspirations for your graphical design using vector similarity search.
An Intelligent Image Similarity Search System for Online Shopping.
A research into PG-based ANNS algorithm, which can help us achieve more accurate results without having to compare and evaluate more vectors in the dataset.
A case of applying vector similarity search to the fashion industry.
Discover the distinct advantages the novel HM-ANN algorithm offers.
Learn how to apply vector similarity search in the industry of IP protection.