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Embedding Model

Voyage Finance 2

Voyage Finance 2 is an embedding model from Voyage AI optimized for financial documents with a 32,000-token context window.

PublisherVoyage AI
TypeEmbedding
Context Window32,000 tokens
Released2024
Input$0.12/MTok

Domain-specific embeddings for financial text

Voyage Finance 2 is a text embedding model developed by Voyage AI, designed specifically for financial language and documents. It produces vector representations of text that can be used for semantic search, retrieval-augmented generation, and document similarity tasks within the finance domain. The model supports a 32,000-token context window, allowing it to process lengthy financial documents such as earnings reports, regulatory filings, and research notes in a single pass.

Unlike general-purpose embedding models, Voyage Finance 2 is trained with a focus on financial terminology, concepts, and document structures, making it well-suited for applications in investment research, compliance, and financial data retrieval. It is a first-party model provided directly by Voyage AI and is accessible through the Voyage AI API. Developers building RAG pipelines, document search systems, or similarity engines over financial corpora are the primary intended users.

What Voyage Finance 2 supports

Long Document Embedding

Encodes text into dense vector representations with a 32,000-token context window, enabling full-document embedding without chunking short passages.

Financial Semantic Search

Retrieves semantically relevant financial content by embedding queries and documents into a shared vector space tuned for finance-domain language.

RAG Retrieval

Supports retrieval-augmented generation pipelines by producing embeddings optimized for matching financial queries to relevant document passages.

Document Similarity

Computes similarity scores between financial documents such as filings, reports, and research notes using domain-aware vector representations.

API Integration

Accessible via the Voyage AI API, allowing developers to integrate financial embeddings into applications without managing model infrastructure.

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Common questions about Voyage Finance 2

What is the context window for Voyage Finance 2?

Voyage Finance 2 supports a context window of 32,000 tokens, which allows it to embed long financial documents in a single request.

What types of tasks is Voyage Finance 2 designed for?

It is designed for embedding-based tasks involving financial text, including semantic search, document retrieval, retrieval-augmented generation, and document similarity over corpora such as earnings reports, SEC filings, and financial research.

What is the pricing for Voyage Finance 2?

Pricing information was not included in the available metadata. You should consult the Voyage AI pricing page at voyageai.com for current rates.

Does Voyage Finance 2 support image or multimodal inputs?

Based on available metadata, Voyage Finance 2 is a text embedding model and does not indicate support for image or video inputs.

Who publishes Voyage Finance 2 and how is it accessed?

Voyage Finance 2 is published by Voyage AI and is provided as a first-party model accessible through the Voyage AI API.

Start building with Voyage Finance 2

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