Jina AI
Mock the Jina AI embeddings, reranker, and multi-vector API so you can prototype RAG and retrieval flows without burning live tokens or hitting rate limits.
About
Emulate single and bulk embeddings, multi-vector and ColBERT-style embeddings, the reranker scoring endpoint, bulk job status and result download, and a service-health check. Useful for wiring up retrieval, search, and RAG code paths against a stable mock that mirrors the Jina Universal API shape.
Endpoints
| POST |
/v1/embeddings
|
Create Embedding Create embedding representations of the given input texts. Mocked via Mockzilla.
|
| POST |
/v1/bulk-embeddings
|
Start Bulk Embedding Upload a file and get embeddings for each row
|
| GET |
/v1/bulk-embeddings/{job_id}
|
Retrieve Job
|
| POST |
/v1/bulk-embeddings/{job_id}/download-result
|
Download Result
|
| POST |
/v1/rerank
|
Rank Rank pairs.
|
| POST |
/v1/multi-vector
|
Create Multi Vector Create multiple vector representations of the given input texts. One vector representation for each token in the input text.
|
| POST |
/v1/multi-embeddings
|
Create Multi Vector Create multiple vector representations of the given input texts. One vector representation for each token in the input text.
|
| GET |
/
|
Get the health of Universal API service Get the health of this Gateway service. .. noqa: DAR201. Available as a Mockzilla mock endpoint.
|
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