Semantic retrieval
Define a focused user journey and evaluate candidate behaviour using realistic examples from your business.
Voyage AI / Search & retrieval
Voyage embeddings
Embedding models for representing content in retrieval and similarity workflows, with model-specific input and domain support.
FROM MODEL TO PRODUCTUseful intelligence
Useful intelligence
needs a useful system.
Choose an embedding model, define document chunking and evaluate retrieval on your own queries. Plan index versioning because changing embeddings may require rebuilding the search index.
POTENTIAL APPLICATIONS
Document search
Connect the relevant information and controls so users can inspect, correct and act on the result.
Similarity matching
Build a measurable prototype before extending the capability into a wider production workflow.
WHAT WE WOULD VALIDATE
ENGINEERING AROUND THE MODEL
LET’S BUILD WHAT’S NEXT
Start with the task. Find the right model.
Tell us what you want to make possible. We’ll start with the problem and find the right next step.