Aident Loadout を通じて Perplexityai Tools の Perplexityai Create Contextualized Embeddings を使用します。実行前に入力、出力、設定、料金、リスクを確認できます。
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…
input必須arrayNested 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.
model必須stringThe 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.
data必須Data from the action execution
errorstringError if any occurred during the execution of the action
successful必須booleanWhether or not the action execution was successful or not
API キー接続。リスクレベル 2/5。
無料 Action
この Action を明示的に参照する公開 Skills はまだありません。