QuantCDN AI Vector Database API
Vector database collections for RAG and semantic search
QuantCDN AI Vector Database API is one of 38 APIs that QuantCDN publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include AI Vector Database. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and a getting-started guide.
This API exposes 8 operations across 4 paths, and defines 20 schemas. It is described by OpenAPI 3.0.0, at version 4.15.8.
Requests are made against 2 base URLs: https://dashboard.quantcdn.io, https://dash.quantgov.cloud.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
QuantCDN AI Vector Database API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (JWT) (BearerAuth).
By default, every request must be authenticated.
BearerAuth— Enter your Bearer token in the format: Bearer . Obtain your API token from the QuantCDN dashboard under Profile API Tokens.
Paths & Operations 8
Across 4 paths, the API surfaces 8 operations — 2 DELETE, 3 GET, 3 POST. Each is listed below with its method, path, parameters, and response codes.
Vector database collections for RAG and semantic search
Schemas 20
The contract defines 20 schemas that model the data the API accepts and returns. The most detailed are queryVectorCollection_200_response (10 properties), queryVectorCollection_request (10 properties), getVectorCollection_200_response_collection (8 properties), listVectorCollections_200_response_collections_inner (6 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
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Other APIs QuantCDN publishes across the network.