Your content may already be surfacing for searches you never planned for. Here's how to identify those opportunities and act ...

Apache Doris is an easy-to-use, high-performance and real-time analytical database based on MPP architecture, known for its extreme speed and ease of use. It only requires a sub-second response time ...

How AI search systems retrieve and select content. Why eligibility alone doesn’t win. How to diagnose whether your content is failing at the retrieval layer or the quality layer. The fix is different ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

One of the key use cases for generative AI involves answering questions over private datasets, with retrieval-augmented generation (RAG) as the go-to framework. As new RAG techniques emerge, there’s a ...

1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...

The GraphRAG project (opens in new tab) aims to expand the class of questions that AI systems can answer over private datasets by leveraging the implicit relationships within unstructured text. In ...

Large Language Models (LLMs) have transformed how we interact with information. However, their reliance solely on internal knowledge can limit the accuracy and depth of their responses, especially ...

If you’ve always been in awe of folks using the Google Search Console API to do cool things, this article is a good read for you. You can use BigQuery with the GSC bulk data export to get some of the ...