Voyage AI | Home Docs Blog Company Login Menu Docs Blog Company Login Supercharging Search and Retrieval for Unstructured Data Best-in-class embedding models and rerankers Try it now voyage-3.5 and voyage-3.5 lite: improved quality for a new retrieval frontier Now announcing the Voyage 4 Model Series and voyage-multimodal-3.5 Introducing the Batch API: Simpler and more efficient for large-scale workloads rerank-2.5 & rerank-2.5-lite: Instruction following + a new price-performance frontier voyage-context-3: focused chunk-level details with global document context voyage-3.5 and voyage-3.5 lite: improved quality for a new retrieval frontier Now announcing the Voyage 4 Model Series and voyage-multimodal-3.5 Introducing the Batch API: Simpler and more efficient for large-scale workloads rerank-2.5 & rerank-2.5-lite: Instruction following + a new price-performance frontier voyage-context-3: focused chunk-level details with global document context voyage-3.5 and voyage-3.5 lite: improved quality for a new retrieval frontier 1 2 3 4 5 Embeddings and Rerankers Drive RAG Retrieval and Response Quality Unstructured data Embedding model Vector DB Reranker Relevant files LLM Factual responses with lower costs A Spectrum of Models for Your Target Use Cases General-purpose models Ready for any purpose and language out-of-the-box. Get started Domain-specific models Highly optimized for industry-specific data, like finance, legal, and code. Get started Company-specific models Fine-tuned librarians for your company’s unique data and lingo. Contact Sales Powered by Cutting-Edge AI Research and Engineering High accuracy Retrieving the most relevant contextual information Low dimensionality 3x-8x shorter vectors ⇒ cheaper vector search and storage Low latency 4x smaller model and faster inference with superior accuracy Cost efficient 2x cheaper inference with superior accuracy Long-context Longest commercial context length available (32K tokens) Modularity Plug-and-play with any vectorDB and LLM Deploy Anywhere Trusted by Industry Leaders Quick Links Docs Quick Start Tutorial Embeddings Rerankers Blog Privacy and Compliance SOC 2 HIPAA Privacy Policy Terms of Service Engage with Us Linkedin Twitter Discord [email protected] Newsletter Quick Links Docs Quick Start Tutorial Embeddings Rerankers Blog Privacy and Compliance Engage with Us © 2025 MongoDB, Inc. All rights reserved.
Salary
$70,000 - $165,000
Location
Palo Alto, California
Total raised
$28.0M
Last stage
Series A
Investors
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