Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...

OpenAI’s own models broke out of a test sandbox and into Hugging Face’s servers to solve an evaluation, with no human attacker involved. The incident showed how keeping agentic AI safe now depends on ...

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...

Use the integrated vector database in Azure DocumentDB to seamlessly connect AI-based applications with your data stored in Azure DocumentDB. This integration can include apps that you built by using ...

Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, ...

In recent years, many of our applications have been driven by the high volume of data that we are able to collect and process. Some may refer to us being in the age of data. One of the essential ...

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...

A data science writer with five years of experience. Today’s large language models have access to an ever-growing amount of information. However, there remains a vast trove of private data that these ...

I am sure that most of us have used search engines. There is even a phrase such as “Just Google it.” The phrase means you should search for the answer using Google's search engine. That’s how ...

Deep learning is a subset of machine learning, which is a subset of artificial intelligence. Artificial intelligence is a general term that refers to techniques that enable computers to mimic human ...