Browse past weeks of engineering reads.
Enterprise AI agents lacked access to real-time, verifiable web data sources for grounding their responses, leading to hallucinations and reduced factual accuracy in complex workflows.
Developers needed a unified embedding model capable of processing interleaved multimodal inputs (text, images, video, audio, documents) in a single semantic space for tasks like retrieval-augmented generation and visual search.