Wispr Flow - Don’t type, just speak
Mini toolsVoyage 01
By Voyage AI
voyage-01 is Voyage AI's initial general-purpose text embedding model, released in October 2023. It produces dense vector embeddings for retrieval-augmented generation (RAG) pipelines, semantic search, and NLP tasks requiring vector representations. At launch, it outperformed OpenAI's text-embedding models on the Massive Text Embeddings Benchmark (MTEB) by over 5 points, and also led on Voyage AI's internal real-world industry domain (RWID) evaluation suite. The model supports query and document input types, prepending task-specific prompts to improve retrieval accuracy. Accessible through Voyage AI's REST API and Python SDK, voyage-01 is now deprecated in favor of the newer generation Voyage lineup. Domain-specific fine-tuning was available for enterprise customers, delivering 10-20% accuracy improvements for production RAG use cases.
Text
Gen 7
Overview
voyage-01 is a text embedding model by Voyage AI, designed for retrieval-augmented generation (RAG) and semantic search. It maps text inputs to dense vector representations for document and query retrieval tasks. Deprecated in favor of newer Voyage models.
About Voyage AI
Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.
View Company Profile
Last updated: June 23, 2026
