The outcome
Get into the official Voyage AI experience with the right account and a setup you understand.
Voyage AI is a embedding and reranking platform for semantic search, retrieval-augmented generation, code and domain retrieval, and multimodal indexing. Creating high-quality text or multimodal embeddings and reranking candidate results for semantic search, RAG, code search, and domain-specific retrieval. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.
Before you begin
Set the boundary before the tool starts.
Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.
AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.
Step by step
A workflow you can repeat.
- 01
Start at https://www.voyageai.com/ and confirm the domain before entering account or payment information.
- 02
For desktop use, follow the official download link. Current availability: Voyage AI is accessed through its web dashboard, hosted REST APIs, Python and TypeScript clients, and supported private deployment options including MongoDB listings in Azure..
- 03
A Voyage account and API key, server-side secret storage, an owned and permissioned corpus, a vector index, labeled retrieval evaluations, token and rate budgets, approved data handling, monitoring, and a reindex and rollback plan.
- 04
Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.
- 05
Run one low-risk test task before connecting sensitive files, repositories, or workspace data.
Working standard
What good use looks like.
- Use official download pages.
- Review permissions during setup.
- Keep installers and applications updated.
Embedding compatibility, dimensions, tokenizers, limits, and recommended models change; automatic truncation can silently remove decisive content, and relevance scores are not truth or permission checks. Voyage says hosted-API customers can opt out of storage and training use for zero-day retention through an organization-admin control. Keep keys server-side, confirm current data settings, preserve source permissions and deletion, separate query and document inputs, version every vector with its model configuration, evaluate reranking on labeled data, and reindex deliberately when compatibility changes.
Official references
Check the current product documentation.
Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.