The VectorDoc Search API lets you upload documents and perform semantic, vector-based search across their content. Files are automatically processed, chunked, and indexed so you can query them using natural language and retrieve the most relevant sections with high accuracy. This API focuses on deterministic document retrieval rather than AI-generated answers, making it ideal for knowledge…

3 subscribers
9.2/10 popularity
1640 ms avg latency
86% success rate
6 endpoints
The in-depth APIMemo review for this API hasn't been published yet — the data below comes straight from the public marketplace listing.

VectorDoc Search API endpoints

MethodEndpointDescription
POST Upload Document
/documents
Add and vectorize a new document.
POST Search Knowledgebase
/search
Search documents using semantic similarity.
GET Document Status
/documents/status
Check document processing status by ID
POST Delete Documents
/documents/delete
Delete one or more documents by ID.
GET List Documents
/documents
List all documents for the authenticated user.
POST Delete all data (WARNING)
/wipe
Permanently delete ALL user data (documents, vectors, files). Requires two-step confirmation.

VectorDoc Search API pricing

PlanPriceRate limitQuotas
BASIC Free
  • Requests: 50 / monthly
PRO $9 / month 50 / second
  • Requests: 3,000 / monthly (then $0.0090 each)
ULTRA Recommended $29 / month
  • Requests: 15,000 / monthly (then $0.0090 each)
MEGA $59 / month
  • Requests: 30,000 / monthly (then $0.0060 each)

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