Google Scholar is a search engine Google created to parse though a massive database of scholarly literature, looking for the best matches for your search terms. Google Scholar was released in beta ...

Search firm Exa wants to use the tech behind large language models to tame the wildness of the web. A startup called Exa is pitching a new spin on generative search. It uses the tech behind large ...

Google's 1M page threshold unchanged after 5 years, but slow databases can cause issues at any size Database speed matters more than page count for crawl budget The threshold is "probably" 1M ...

MariaDB Enterprise Platform 2025 introduces new native vector search capabilities within the core database engine that are 100% open source. Vector search enables searching unstructured data by value ...

Qdrant, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Signs saying to use Ecosia and not Google, against Industrial live stock & for veganism. As artificial intelligence reshapes the search engine landscape, Europe's eco-friendly search engine Ecosia ...

AI Mode clicks, impressions, and positions are now in Search Console. Google's help doc explains how new queries and elements are tracked. Google’s AI Mode counts toward the totals you see in your ...