text-embedding-3-large
lx1-embed-3-largeEmbeddingsLive in the catalogA high-quality general-purpose embedding and a safe default for semantic search and RAG. Its vectors capture nuance well across domains, and the dimensions can be shortened to trade a little accuracy for cheaper storage and faster search.
- 01Strong general retrieval quality
- 023,072 dimensions, shortenable for cost
- 03A reliable default for RAG and search
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.
text-embedding-3-large 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.
curl https://api.layerx1.in/v1/embeddings \
-H "authorization: Bearer lx1_your_key" \
-H "content-type: application/json" \
-d '{
"model": "lx1-embed-3-large",
"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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