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Create Text Embeddings

Generates vector embeddings for one or more text inputs using a Voyage AI embedding model. Returns an array of embedding vectors, one per input.

• 6 parameters
• Input Text(s)
• Model
• Input Type
• Truncation
• Output Dimension
• Output Data Type

Create Contextualized Embeddings

Generates contextualized chunk embeddings for document chunks using the voyage-context-3 model. Each chunk is embedded in the context of surrounding chunks from the same document, producing richer embeddings for RAG pipelines.

• 4 parameters
• Document Chunks (JSON)
• Input Type
• Output Dimension
• Output Data Type

Rerank Documents

Reranks a list of candidate documents by relevance to a query using a Voyage AI reranker model. Returns documents with relevance scores in descending order. Use after an initial retrieval step to improve result quality.

• 6 parameters
• Query
• Documents (JSON)
• Model
• Top K
• Return Documents
• Truncation

Make HTTP Request

Make an HTTP request to any URL with full control over method, headers, and body.