Aident Loadout を通じて Perplexityai Tools の Perplexityai Create 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。
Generate vector embeddings for independent texts (queries, sentences, documents). This action takes one or more input texts and generates vector embeddings using Perplexity AI's embedding models. Embeddings are useful for semantic search, similarity matching, and machine learnin…
input必須Input text to embed, encoded as a string or array of strings. Maximum 512 texts per request. Each input must not exceed 32K tokens. All inputs in a single request must not exceed 120,000 tokens combined. Empty strings are not allowed.
model必須stringThe embedding model to use. pplx-embed-v1-0.6b is smaller and faster, while pplx-embed-v1-4b is larger and more accurate.
dimensionsintegerNumber of dimensions for output embeddings (Matryoshka). Range: 128-1024 for pplx-embed-v1-0.6b, 128-2560 for pplx-embed-v1-4b. Defaults to full dimensions (1024 or 2560).
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。