Batch Document Embedding API

Transform text and documents into high-quality semantic embeddings Unlock the power of **1024-dimension document embeddings** with our **Batch Document Embedding API**, powered by the advanced **mxbai-embed-large** model running on optimized local infrastructure. This API converts text, PDFs, and large documents into dense vector representations ideal for **RAG systems**, **semantic search**,…

6 subscribers
9.1/10 popularity
437 ms avg latency
72% success rate
7 endpoints
The in-depth APIMemo review for this API hasn't been published yet — the data below comes straight from the public marketplace listing.

Batch Document Embedding API endpoints

MethodEndpointDescription
embeddings
POST createEmbeddings
/v1/embed
Synchronous endpoint for generating embeddings. Use this for small batches or interactive calls. For large files or corpora, use the async jobs endpoints. Returns 1024-dimension…
files
POST uploadFileForEmbedding
/v1/embed/file
Multipart file upload. Supports PDF and text files. Returns embeddings synchronously.
jobs
POST submitJob
/v1/jobs
Submit a list of file URLs for bulk processing. Use this for large-scale indexing. Poll /v1/jobs/{job_id} to check status. **Note**: Server must have network access to provided…
GET listJobs
/v1/jobs
Returns list of all embedding jobs
GET getJob
/v1/jobs/{job_id}
Retrieve status, progress, and result URLs for a specific job
GET getResults
/v1/results/{filename}
Download the JSON results file for a completed job
health
GET health
/v1/health
Returns basic service health information and current queue depth

Batch Document Embedding API pricing

PlanPriceRate limitQuotas
BASIC Free
  • Requests: 10,000 / monthly
PRO $5 / month
  • Requests: 500,000 / monthly

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