Your AI Performance Stack is Fireworks Models with Voyage AI embeddings

This post details the integration of Voyage AI's embedding, reranking, and multimodal models with Fireworks' inference platform. It highlights the benefits of a unified retrieval-to-response pipeline, including reduced latency, cost, and security surface. Specific Voyage models (voyage-4-large, voyage-4, voyage-4-lite, voyage-4-nano, voyage-multimodal-3.5, rerank-2.5) are discussed for different use cases, from high-accuracy customer support to cost-optimized internal assistants and agentic systems. The post also emphasizes the ability to combine these retrieval capabilities with post-trained open-source models on Fireworks for specialized intelligence and introduces multimodal RAG capabilities with voyage-multimodal-3.5.