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Voyage AI

Definition: Voyage AI builds high-accuracy embedding and reranking models used to power retrieval-augmented generation (RAG) and semantic search; acquired by MongoDB in 2025, its models turn text and documents into vectors optimized for retrieval relevance.

Official source: Voyage AI

Overview

What Voyage AI is

Voyage AI is a company that develops embedding and reranking models, the retrieval layer that makes RAG and semantic search accurate. Embedding models convert text, code, and documents into numerical vectors so similar content sits close together; reranking models then reorder retrieved results by relevance. In 2025, Voyage AI was acquired by MongoDB, which is integrating its models into its data platform.

Why embeddings and reranking matter

In a RAG system, the model can only answer well if retrieval surfaces the right passages. Higher-quality embeddings and reranking directly improve that step, reducing wrong or hallucinated answers. Voyage AI is known for models that score highly on retrieval benchmarks, including domain-specific versions for code, finance, and law, which can outperform general-purpose embeddings on specialized content.

How a team uses it

For a business building a knowledge assistant, a full-service team can use Voyage AI embeddings to index documents and its rerank model to sharpen results before the LLM writes an answer. Because embeddings and reranking are provider-independent, Voyage models slot into RAG development alongside most vector databases and generation models, and are chosen when retrieval accuracy is the priority.

Where we use it

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How our team puts Voyage AI to work in real projects.

FAQ

Voyage AI — common questions

What is Voyage AI used for?

Voyage AI is used to generate text and document embeddings and to rerank search results, powering the retrieval step in RAG systems and semantic search. Better retrieval means more accurate, grounded answers from AI applications.

Voyage AI vs OpenAI embeddings?

Both provide embedding models via API. Voyage AI focuses specifically on retrieval quality and offers domain-specific models plus reranking, often scoring at or above general-purpose options on benchmarks, while OpenAI embeddings are a convenient default within its broader ecosystem.

Is Voyage AI free?

Voyage AI is a paid API priced by tokens processed, but it offers a free allotment of tokens so teams can test its embedding and reranking models before committing. Costs scale with the volume of text you index and query.

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