Engineering
Elevating User Experience with Image-based Fashion Recommendations
This article explores the concepts and architecture, highlighting how AI can transform the fashion industry. We'll begin by explaining visual embeddings, which are crucial for understanding the article. Next, we'll detail how Joan built and stored images in a vector database like Milvus. Finally, we'll outline the step-by-step process of how the model generates recommendations.
Engineering
Vectorizing and Querying EPUB Content with the Unstructured and Milvus
In this post, we explore the vectorization and retrieval of EPUB data using Milvus and the Unstructured framework, offering developers actionable insights for enhancing LLM performance.
Engineering
Enhancing Efficiency in Vector Searches with Binary Quantization and Milvus
Binary quantization represents a transformative approach to managing and searching vector data within Milvus, offering significant enhancements in both performance and efficiency. By simplifying vector representations into binary codes, this method leverages the speed of bitwise operations, substantially accelerating search operations and reducing computational overhead.