Research
Research perspectives
Our take on advances in generative AI, from model training and retrieval to reasoning and agents, with a focus on their value for companies.
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Article · 2 min read
Better search starts with the context of your documents
A passage becomes easier to find when the search system understands where it belongs. Research on contextual embeddings explores how to preserve that information efficiently.
Article · 3 min read
Similar retrieval scores, very different costs
A new benchmark compares ten LLMs with 26 embedding models across 37 tasks. The results show why companies should decide carefully which work a language model does.
Article · 2 min read
Why business agents make a strong case for small language models
Business workflows contain many recurring, well-defined tasks. Specialised models could make these steps cheaper to run and easier to control.
Article · 2 min read
Teaching small models to find the evidence that matters
Finding a related document is only the beginning. Research on specialised rerankers shows how compact models can learn to judge whether a passage actually helps answer a question.