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Voyage AI’s multilingual embeddings boost Snowflake’s Cortex AI for improved enterprise RAG
Enterprise RAG accuracy needs better embeddings and that’s what Voyage AI provides with models that will be coming to Snowflake Cortex AI users.
The startup today announced that it has raised a $20 million series A round of funding to advance the development of its embedding and retrieval models for enterprise RAG AI use cases. “Basically, we make RAG better by improving the retrieval quality,” Tengyu Ma, founder and CEO of Voyage AI, told VentureBeat. In order to get value from unlabelled data for an enterprise, Voyage AI uses a technique called contrastive learning to train its models.
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