Voyage AI

Supercharging

Search

 

and

 

Retrieval

 

for Unstructured

 

Data

 

Union

Best-in-class embedding models and rerankers

Embeddings and Rerankers Drive RAG Retrieval and Response Quality

  • Unstructured data

  • Embedding model

  • Vector DB

  • Reranker

  • Relevant files

  • LLM

  • Factual responses with lower costs

A Spectrum of Models for Your Target Use Cases

  • General-purpose models

    Ready for any purpose and language out-of-the-box.

  • Domain-specific models

    Highly optimized for industry-specific data, like finance, legal, and code.

  • Company-specific models

    Fine-tuned librarians for your company’s unique data and lingo.

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  • High accuracy

    Retrieving the most relevant contextual information

  • Low dimensionality

    3x-8x shorter vectors ⇒ cheaper vector search and storage

  • Low latency

    4x smaller model and faster inference with superior accuracy

  • Cost efficient

    2x cheaper inference with superior accuracy

  • Long-context

    Longest commercial context length available (32K tokens)

  • Modularity

    Plug-and-play with any vectorDB and LLM

Deploy Anywhere

Trusted by Industry Leaders