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 ...

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

The model specializes in code and “performs especially well for retrieval use cases on real-world code data.” The model is available to developers for $0.15 per million tokens.

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

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