Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized configurations.

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.

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 ...

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...

Artificial intelligence agent and assistant platform provider Vectara Inc. today announced the launch of Open RAG Eval, an open-source evaluation framework for retrieval-augmented generation. RAG is a ...

Clear structure helps readers scan content and AI systems identify answers. Here’s how to organize ideas into clear, self-contained sections.

This formatted data is then transformed into tokens and vectors. Publishers quickly realised that with large volumes of documents and long texts, it was inefficient to vectorise the whole document.