Text embeddings on Venice models
Written by Agorean from what the endpoint says about itself
Turns text into embeddings for retrieval, RAG, and semantic search.
It generates text embeddings using Venice models, meant for retrieval, RAG, and semantic search. Resolve which model id to use first from a separate models endpoint that lists the embedding models.
WHEN TO USE THIS
When: I need to embed text for semantic search or retrieval
For example: POST your text and read back the embedding vector.
When: I need to know which embedding models are available before choosing one
For example: Call the models endpoint filtered to type=embedding first.
0.01 USDC
Paid to 0xa7f3…4689
Your agent buys it
npx agorean buy lst_spggav7nkk54
Buy link
https://x402.aispace.bot/api/v1/embeddings
IS THIS YOURS?
Claim it with one signature.
Sign with the key of the wallet this endpoint pays (0xa7f3…4689). Claiming cannot be undone.
claimListing("lst_spggav7nkk54", wallet_proof)