GET

/v1/schemas/perplexity/embeddings/v1/contextualizedembeddings

Accept:

kind inputactivity embeddingshash f2371d58…extracted Aug 15, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `95305c44ed99cf4e51463de55994b3bd26063194b78668d5e8753534ee3551ab` { "fetchedAt": 1786772001, "extractorVersion": "1", "verifiedAt": null }

Request body

4 properties · 2 required · 0 $defs

property	type	description	constraints
input*	string[][]	Nested array structure where each inner array contains chunks from a single document. Chunks within the same document are encoded with document-level context awareness. Maximum 512 documents. Total chunks across all documents must not exceed 16,000. Total toke…	items ≥ 1 · items ≤ 512
model*	enum	The contextualized embedding model to use	pplx-embed-context-v1-0.6b \| pplx-embed-context-v1-4b
dimensions	integer	Number of dimensions for output embeddings (Matryoshka). Range: 128-1024 for pplx-embed-context-v1-0.6b, 128-2560 for pplx-embed-context-v1-4b. Defaults to full dimensions (1024 or 2560).	128 ≤ n ≤ 2560
encoding_format	enum	Output encoding format for embeddings. base64_int8 returns base64-encoded signed int8 values. base64_binary returns base64-encoded packed binary (1 bit per dimension).	base64_int8 \| base64_binary · default: "base64_int8"

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"perplexity","endpointId":"v1/contextualizedembeddings","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}