Voyage AI

Embedding model provider. Offers high-dimensional text embedding APIs used in semantic and vector search pipelines.

Referenced in Erik Hatcher’s Hybrid Search Blueprint Series Semantic Boosting as the embedding provider for query vectorization (voyage-4-large, 2048 dimensions, dot product similarity).

Models

• voyage-3-large — used for pre-embedding documents in the embedded_movies example
• voyage-4-large — used for query embedding at query time

People

• Erik Hatcher — used Voyage AI in Semantic Boosting demo

Articles

• Hybrid Search Blueprint Series Semantic Boosting

Key Concepts

• Dense Vector Retrieval
• Semantic Boosting
• Embeddings