Text Embeddings
Free tierVectors for search, clustering, and retrieval.
About this API
Turn text into dense vectors suited to semantic search and retrieval-augmented generation. Multiple dimensions to trade accuracy against index size, batch endpoints for backfilling a corpus, and a matching similarity endpoint so you can prototype before choosing a vector database.
Common use cases
Quickstart
Every Zephiel API uses the same base URL, the same key header, and the same error envelope.
curl -X GET "https://zephiel.com/api/v1/text-embeddings/embed" \
-H "X-Zephiel-Key: $ZEPHIEL_API_KEY" \
-H "Accept: application/json"Example response
{
"model": "zephiel-embed-3",
"dimensions": 768,
"count": 2,
"usage": { "tokens": 41 },
"data": [{ "index": 0, "embedding": [0.0182, -0.0471, 0.0093, "..."] }]
}/v1/text-embeddings/embedEmbed one or many strings/v1/text-embeddings/batchBackfill a corpus asynchronously/v1/text-embeddings/similarityCompare two texts directlyAll endpoints return JSON and accept the X-Zephiel-Key header. Rate limits are enforced per plan and reported in X-RateLimit-Remaining.
Plans can be changed or cancelled at any time. Overage is charged per 1,000 requests rather than hard-blocking your traffic.
Free
100 tokens/mo
5 req/min
Free
- JSON output format — included
- HTTPS encryption — included
- API key authentication — included
- Standard endpoints — included
- Community support — included
- CSV output format — not included
- Email support — not included
- Usage analytics and alerts — not included
- 99.9% uptime SLA — not included
- Webhooks — not included
- Priority support — not included
- Custom rate limits — not included
- 99.99% uptime SLA — not included
- Dedicated success manager — not included
- SSO / SAML — not included
- Custom SLA, DPA, and BAA — not included
- Private deployment option — not included
- Volume pricing — not included
Starter
10,000 tokens/mo
60 req/min
$20/month
- JSON output format — included
- HTTPS encryption — included
- API key authentication — included
- Standard endpoints — included
- Community support — included
- CSV output format — included
- Email support — included
- Usage analytics and alerts — included
- 99.9% uptime SLA — included
- Webhooks — not included
- Priority support — not included
- Custom rate limits — not included
- 99.99% uptime SLA — not included
- Dedicated success manager — not included
- SSO / SAML — not included
- Custom SLA, DPA, and BAA — not included
- Private deployment option — not included
- Volume pricing — not included
Most popular
Pro
250,000 tokens/mo
600 req/min
$80/month
- JSON output format — included
- HTTPS encryption — included
- API key authentication — included
- Standard endpoints — included
- Community support — included
- CSV output format — included
- Email support — included
- Usage analytics and alerts — included
- 99.9% uptime SLA — included
- Webhooks — included
- Priority support — included
- Custom rate limits — included
- 99.99% uptime SLA — included
- Dedicated success manager — not included
- SSO / SAML — not included
- Custom SLA, DPA, and BAA — not included
- Private deployment option — not included
- Volume pricing — not included
Enterprise
Unlimited tokens
Custom
$280/month
- JSON output format — included
- HTTPS encryption — included
- API key authentication — included
- Standard endpoints — included
- Community support — included
- CSV output format — included
- Email support — included
- Usage analytics and alerts — included
- 99.9% uptime SLA — included
- Webhooks — included
- Priority support — included
- Custom rate limits — included
- 99.99% uptime SLA — included
- Dedicated success manager — included
- SSO / SAML — included
- Custom SLA, DPA, and BAA — included
- Private deployment option — included
- Volume pricing — included
4.8
12 reviews
Daniel Kessler
CTO
Support answered properly
Asked Meridian AI about an edge case in Text Embeddings and got an explanation from someone who had clearly read the code, not a link to the FAQ.
Elena Rossi
Product Manager
Quietly reliable
Text Embeddings has not surprised us once in eight months of production traffic. That is the highest compliment I can pay a dependency.
Hannah Lindqvist
Platform Lead
One key made the difference
Adding Text Embeddings took ten minutes because the credential already existed. The vendor onboarding we skipped would have taken longer than the integration.
Sofia Almeida
Developer
Solved Semantic site search for us
We brought Text Embeddings in for Semantic site search and it has not needed revisiting since. The response shape matched the documentation on the first call, which is rarer than it should be.
Samuel Adeniyi
Software Architect
Fast enough to sit in the request path
210ms median is quick enough that we call Text Embeddings synchronously rather than queueing it. That removed a whole background worker from our architecture.
Zainab Yusuf
Product Engineer
Free tier covered the whole prototype
I built the entire deduplicating support tickets flow against Text Embeddings before anyone had to approve a purchase order. By the time we paid, we already knew it worked.
Tomas Ferreira
Platform Engineer
Replaced a fragile in-house similarity job
We had a script doing recommendation systems that broke every few months and only one person understood. Text Embeddings replaced it in an afternoon and nobody maintains it now.
Yuki Tanaka
Backend Engineer
Errors are actually readable
When something goes wrong Text Embeddings says what and why, with a code I can branch on. I have integrated semantic search services that return 200 with an error buried in the body, so this is a relief.
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