Vela documentation
Create an index, ingest embeddings and query your vectors by similarity
Everything you need to get going
Create an index, send a first batch of embeddings and run a cosine similarity query in a matter of minutes.
Whether you are building a RAG pipeline, a product search or a recommendation engine, the documentation covers ingestion, metadata filters, namespaces, HNSW tuning and reindexing.
Documentation with structure
Six categories covering the full lifecycle of an index
Quickstart
Create an API key, declare an index, send a first batch of embeddings and run a k-NN query.
API reference
REST and gRPC endpoints: index, upsert, query, metadata filters, statistics and quotas.
SDKs
Python, TypeScript and Go libraries, with batch ingestion, error recovery and result pagination.
Tutorials
Create an index, ingest vectors, filter by metadata and wire up a RAG pipeline end to end.
Operations
Size your shards, tune HNSW and balance recall against p50/p99 latency under load.
Release notes
Version history, API changes, announced deprecations and migration procedures.
Answers in milliseconds
The HNSW index answers k-nearest-neighbour queries under 12 ms at the p99.
An index takes up to 1 billion vectors and 4096 dimensions. Measured recall reaches 99.2 % on the reference datasets. Metadata filters are applied during graph traversal, with no post-processing.
Documented use cases
SDKs and tooling
The libraries and resources that surround the API
Official SDKs
Three libraries maintained by the team, with full typing, error recovery and batch ingestion. Every example in the documentation is given in all three languages.
- Python SDK
- TypeScript SDK
- Go SDK
- REST and gRPC clients
Integrations
Connectors for the most common ingestion pipelines and RAG frameworks.
Regions
8 deployment regions, with data residency chosen per index.
Release notes
API changes, deprecations announced ahead of time and versioned migration guides.
Support
Technical questions at contact@vela.dev, plus discussion in the public user community.
Data residency
Vela is deployed across 8 regions. You pick the region when you create the index, and the vectors never leave it.
eu-west-1
Paris, France
Entry points
A question about the API
The full documentation is published at docs.vela.dev. For anything else, write to contact@vela.dev.