databases

Photo by Roman Kraft on UnsplashMaking LLMs into production environments using Sentence Transformers and QdrantLarge language models (LLMs) generated a global buzz in the machine learning community with recent releases of generative AI tools such as Chat-GPT, Bard, and others alike. One of the core ideas behind these solutions is to compute a numerical representation of unstructured data (such as texts and images) and find similarities between these representations.However, taking all of these concepts into a production…

How SQL Execution Orders Varies Across DatabasesWhy you can’t GROUP BY ordinal positions in SQL Server but can in othersTransact-SQL vs MySQL execution order (image by author)After working regularly with open-source databases such as MySQL and PostgreSQL, I recently had the chance to work on a SQL Server project and discovered a subtle but important difference in the SQL landscapes. I observed that in SQL Server, I was unable to GROUP BY ordinal positions (GROUP BY 1, 2, 3…), which is a functionality I frequently used…

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workloadImage by DALLE-3Vector databases are built for high-dimensional vector retrieval. Today, many vectors are embeddings generated by deep neural nets like GPTs and CLIP to represent data points such as pieces of text, images, or audio tracks. Embeddings are used in many applications like search engines, recommendation systems, and chatbots. You can index embeddings in a vector database, which uses an Approximate…

At the heart of this revolution lies the concept of vector databases, a groundbreaking development that is reshaping how we handle complex data. Unlike traditional relational databases, these are uniquely equipped to manage and process high-dimensional vector data — which is intrinsic to many AI and machine learning applications. As we delve deeper into the era of advanced AI, vector databases are emerging as critical tools, offering unparalleled efficiency and accuracy in handling the vast, intricate datasets generated…

OnePlus Buds Pro 2 true wireless (TWS) earphones with adaptive noise cancellation (ANC) feature and IP55 rating for sweat and water resistance were launched in India in early February. Now, the Chinese electronics brand is reportedly working on the new OnePlus Buds 3 as the next iteration in the OnePlus Buds family. Ahead of any official confirmation, references about the earbuds have allegedly been spotted on the Bureau of Indian Standards (BIS) website and the US Federal Communications Commission (FCC) database. The…

"Neural network models can actually be thought of almost as a database of sorts, especially when we're talking about generative models," Naveen Rao, co-founder and CEO of MosaicML, told ZDNET in an interview prior to the deal. "At a very high level, what a database is, is a set of endpoints that are typically very structured, so typically rows and columns of some sort of data, and then, based upon that data, there is a schema on which you organize it," explained Rao.Unlike a traditional relational database, such as…

Warehousing 101: A Practical Guide for BeginnersImage by authorOver my five years of working in enterprise analytics, I’ve observed an interesting number of data scientists entering the job with limited knowledge of data warehousing and data modelling.This shouldn’t come as a surprise.Data scientists hail from diverse backgrounds such as math, statistics, psychology, and programming. Many likely would not have delved into the intricacies of database systems during their university days.That includes myself, a…

Now that we’ve gotten to grips with some definitions, let’s apply these normal form rules in a working example to let these concepts sink in.Tutorial: Segmenting audiences in a Canadian-based retailerPhoto by charlesdeluvio on UnsplashFor this example, I used MySQL to carry out the queries, where each script should be adapted should you want to follow along with an alternate SQL server such as PostgreSQL or Oracle. If you are newer to MySQL I would suggest reading these articles here for installation instructions and here…

There are various database management systems known in the market that many companies use according to their need and use. As we know, almost every service from social media, payments applications, various booking services through applications, etc has enormous amounts of data on the server. Suppose, you are playing a multiplayer game and there is a score that gets changed every second of time suppose a situation where a video gets viral and people all over the globe add comments to the video.  All these activities lead…

What’s New in Graph ML?A new milestone in graph data managementWe introduce the concept of Neural Graph Databases as the next step in the evolution of graph databases. Tailored for large incomplete graphs and on-the-fly inference of missing edges using graph representation learning, neural reasoning maintains high expressiveness and supports complex logical queries similar to standard graph query languages.Image by Authors, assisted by Stable Diffusion.Neural Graph Databases: What and Why?The blueprint of NGDBsNeural…