In our fast-paced, AI-driven world, businesses of all sizes are looking for ways to seamlessly integrate advanced technologies like [large language models (LLMs)](https://myscale.com/blog/tips-for-cho ...

Whenever the word database is mentioned, relational databases have long been the default choice for data storage due to their sim ...

The explosive growth of global data, projected to reach 181 zettabytes by 2025, with 80% being unstructured, poses a challenge for traditiona ...

Integrated Development Environments (IDE) are among the most important tools for software developers because a solid IDE provide ...

Vector databases are on the rise and their applications are everywhere. They are super fast (imagine searching through billions of entries in a fraction of a second), and require much fewer resources ...

Embeddings are numerical representations of data, capturing the semantic essence of words or phrases. These embeddings are enc ...

In the modern digital age, personalized suggestions are vital for enhancing user interactions. For instance, a music streaming application utilizes your listening habits to recommend new songs that al ...

While text searches are pretty common, there are often scenarios where we need to search for [images using an image](https://myscale.com/blog/building-a-multi-modal-image-search-app-with-myscale/#how- ...

In recent years, artificial intelligence (AI) has made some major transformations, especially in the domain of [large language models (LLMs)](h ...

Vectors allow us to go beyond the time/resource-consuming learning and use simple searches which are much faster and yet so effective. Vector databases are quite helpful in storing high-dimensional ve ...

In our previous exploration of Contrastive Learning, we uncovered how models can learn to differentiate between similar and dissimilar data by ...

The rise of AI has sparked a wave of LLM-based application development, with vector databases playing a crucial role by efficiently handling large-scale structured and unstructured data. Among them, M ...

Machine learning has become a driving force behind creativity and innovation across industries like healthcare and finance. Thanks to libraries like [ ...

Retrieval augmented generation (RAG) was a major leap forward in AI, transforming how [chatbots](https://ch ...

Traditionally, machine learning (ML) can be classified broadly into two types: supervised a ...