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Perplexityai Create Contextualized Embeddings

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…

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Use Perplexityai Create Contextualized Embeddings

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Inputs

  • inputarray
    Required
    Nested 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.
  • modelstring
    Required
    The 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).
  • dimensionsinteger
    Custom output dimensions via Matryoshka. Range: 128-1024 for 0.6b, 128-2560 for 4b. Defaults to full dimensions.
  • encoding_formatstring
    Encoding format for embeddings output.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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