Learn how retrieval-augmented generation helps optimize outputs of large language models. Discover how it works through our practical examples.

Linq, a generative AI startup, announced that its large embedding model "Linq-Embed-Mistral" ranked first in the text retrieval evaluation on HuggingFace's "Massive Text Embedding Benchmark (MTEB ...

Retrieval-augmented generation, or RAG, uses additional data to provide AI chatbots precise answers, addressing generative-model issues.

Retrieval-augmented generation represents a paradigm shift in AI-powered advertising, bridging the gap between creative generation and real-time contextual relevance.

To that end, MongoDB today announced the acquisition of privately-held Voyage AI, which develops advanced embedding and retrieval models.