PLaMo Embedding 1B
sdn-plamo-embed-1bEmbeddingsLive in the catalogA Japanese-language specialist and the widest embedding here at 2048 dimensions, with a 4K input window. If your corpus is primarily Japanese, a model trained for it will separate passages that a general multilingual embedding treats as interchangeable.
- 01Purpose-built for Japanese text
- 022048 dimensions — the widest here
- 034K input window
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.
One endpoint. Served by our engine.
PLaMo Embedding 1B is served through the Sideren engine — zero-downtime serving is the design target, not a status-page apology. You request it by name; everything else is our problem.
curl https://api.sideren.io/v1/embeddings \
-H "authorization: Bearer sdn_your_key" \
-H "content-type: application/json" \
-d '{
"model": "sdn-plamo-embed-1b",
"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.
Your agent doesn't change.
Everything underneath does.
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