Create Contextualized Embeddings (POST /v1/contextualizedembeddings). Generates document-aware embeddings where chunks from the same document share context. Unlike standard embeddings, these recognize sequential relationships within documents, improving retrieval quality. Models…
inputRequiredarrayNested array of texts: outer array = documents, inner array = ordered chunks from that document. Max 512 documents, max 16000 total chunks, max 32K tokens per document, max 120K combined tokens. Empty strings not allowed.
modelRequiredstringThe contextualized embedding model. pplx-embed-context-v1-0.6b (1024 dims, $0.008/1M tokens) or pplx-embed-context-v1-4b (2560 dims, $0.05/1M tokens).
dimensionsintegerCustom output dimensions via Matryoshka. Range: 128-1024 for 0.6b, 128-2560 for 4b. Defaults to full dimensions.
encoding_formatstringEncoding format for embeddings output.
dataRequiredData from the action execution
errorstringError if any occurred during the execution of the action
successfulRequiredbooleanWhether or not the action execution was successful or not
API key connection. Risk level 2 of 5.
Free Action
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