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Model card
jina-embeddings-v3
lx1-jina-v3EmbeddingsLive in the catalogA multilingual embedding with task-specific adapters — retrieval, clustering, classification — and support for long inputs. A flexible pick when one model needs to serve several embedding jobs across languages.
Max input8K tokens
Input · per Mtok$0.02
Dimensions1,024
Served byLayer X1 engine
Where it earns its keep[01/03]
- 01Task-specific adapters in one model
- 02Multilingual, 8K input
- 03Flexible across retrieval and clustering
Capabilities
EmbeddingsYes
Turns text into a fixed-length vector for semantic search, RAG, clustering, and dedupe. Call it on /v1/embeddings with a string or array of inputs — no chat, tools, or reasoning.
Behind the endpoint[02/03]
One endpoint. Served by our engine.
jina-embeddings-v3 is served through the Layer X1 engine — zero-downtime serving is the design target, not a status-page apology. You request it by name; everything else is our problem.
Call it by name
curl https://api.layerx1.in/v1/embeddings \
-H "authorization: Bearer lx1_your_key" \
-H "content-type: application/json" \
-d '{
"model": "lx1-jina-v3",
"input": "text to embed"
}'OpenAI-style clients work too — POST the same model name to /v1/embeddings with a Bearer key. See the docs for both dialects.
Put your agent on real infrastructureYour agent doesn't change.
Your agent doesn't change.
Everything underneath does.
$export ANTHROPIC_BASE_URL=https://api.layerx1.in
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