Aug 14, 2026
This article will discuss the Google Search API shutdown and Brave Search API as an alternative, and give a practical how-to guide for workflow migration from one to the other.
Read this articleJul 29, 2026
A guide to using the Brave Search API as a news API: how the /news/search endpoint works, the structured JSON it returns, real-time and global coverage, common use cases like news aggregation and AI grounding, and how to make your first call.
Read this articleJul 29, 2026
A plain-language guide to the HTTP QUERY method: a web standard (RFC 10008, 2026) that lets a program send a read-only lookup with its details in the request body instead of the web address, so the request is safe to repeat and its answer can be saved and reused. Explains why QUERY was created, how it works, where it helps (especially search APIs), and how widely it is supported.
Read this articleMay 27, 2026
Whether you’re building agents, copilots, or RAG pipelines, success hingest on the quality of the data you can access in real time. That’s where Web search APIs come in. In this short article, we'll discuss the best search API options for 2026
Read this articleDec 15, 2023
Large language models, or LLMs, are powerful AI models specially designed to understand, use, and generate human language. LLMs exist where AI and linguistics meet, in a subfield known as natural language processing, or NLP. In this article, we'll cover what LLMs are, how they're used, and more.
Read this articleDec 15, 2023
Natural language processing, or NLP, is a field that combines computer science and linguistics. Its main focus is giving computers the ability to understand, interpret, and generate human language in a meaningful and useful way. This includes recognizing speech, translating text, and retrieving information from large data sets (such as a search engine). In this article, we'll discuss the core info you need to know about NLP.
Read this articleAug 29, 2023
One of the main ethical considerations with regard to artificial intelligence (AI) is the problem of bias and fairness. In today’s AI systems, it’s quite possible (and, in fact, common) for algorithms to internalize biases present in the data sets they’re trained on.
Aug 29, 2023
A major ethical consideration in the field of artificial intelligence (AI) deals with human privacy, and the security of peoples’ data. With respect to privacy, there’s concern over how personal data is collected and used—with or without permission—to train AI models.
Aug 29, 2023
AI models have become so sophisticated that their conclusions (or outputs) are often hard to understand, explain, or attribute to particular inputs.
Aug 29, 2023
Machine learning (ML) is a subset of the field of artificial intelligence (AI), and the two are very closely related.
Read this articleAug 29, 2023
Deep learning is a subset of machine learning (ML). It’s a multi-layered (or “deep”) architecture for artificial intelligence (AI) models.
Read this articleAug 29, 2023
Artificial intelligence, or AI, is a field that combines computer science and large data sets to accomplish tasks and solve problems that are difficult in traditional programming.
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