Upgrade your retrieval-augmented generation (RAG) stack with Voyage embeddings
High-quality contexts
Enhancing RAG by retrieving more relevant docs.
Less hallucination
LLMs do not hallucinate with accurate contexts.
Modularity
Plug-and-play with any vectorDB and LLM.
Multi-purpose
State-of-the-art quality across domains.
Industry customizable
Engineering, finance, legal, healthcare, etc.
Company customizable
Ingesting proprietary data and knowledge.
Novel training methods leads to state-of-the-art retrieval accuracy
Algorithm and architecture
New self-supervised loss functions and modern architectures at an unprecedented scale.
Systematic and large-scale data processing
Diverse training data from business domains, tailored to RAG and search.
Unlabeled finetuning
Advanced finetuning techniques without human labels.
Excited about Voyage embeddings?
Contact us for fine-tuned models
Fill out the form to send us a message or directly email Tengyu Ma (CEO) at tma@voyageai.com.