通过 Aident Loadout 使用 Perplexityai Tools 的 Perplexityai Create Contextualized Embeddings。执行前查看输入、输出、设置、价格和风险。
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必填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必填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必填Data from the action execution
errorstringError if any occurred during the execution of the action
successful必填booleanWhether or not the action execution was successful or not
API 密钥连接。风险等级 2/5。
免费操作
目前没有已发布技能明确引用此操作。