Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Many claims are made for Latent Semantic Indexing (LSI) and “LSI Keywords” for SEO. Some even say that Google relies on “LSI keywords” for understanding webpages. This has been discussed for nearly ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...