Learn how we built a WordPress plugin that uses vectors and LLMs to manage semantic internal linking directly inside the ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new artificial intelligence tools designed to help them build the next generation of AI ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search ...

MongoDB, Inc. announced the integration of search and vector search capabilities with MongoDB Community Edition and MongoDB Enterprise Server. This announcement was made at its developer conference ...

grepctl supports nine data modalities, including text, PDFs, office documents, images, audio, video, and structured JSON/CSV files. Each modality undergoes tailored extraction and processing steps, ...

Blockchain developers are sharing “horror stories” related to eye-watering bills received from Google Cloud’s BigQuery service, including a developer who was suddenly charged a total of $15,000 for ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

I don't know about you, but I'm tired of seeing AI used in place of actual search results in my web browser or used to summarize whatever I'm looking for. Google has become useless because of this, ...