ArthurAI RAG Notebooks API is one of 98 APIs that ArthurAI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include RAG Notebooks. The published artifact set on APIs.io includes an OpenAPI specification.
This API exposes
8 operations
across 4 paths,
and defines 39 schemas.
It is described by OpenAPI 3.2.0, at version 2.1.688.
Requests are made against a single base URL, https://platform.arthur.ai/api.
8 operations4 paths39 schemas1 DELETE4 GET1 POST2 PUT
Metadata
The identity and technical contract details declared by the specification.
Specification
OpenAPI 3.2.0
API Version
2.1.688
Base URL
https://platform.arthur.ai/api
Authentication
HTTP Bearer
Resource Areas
1
Authentication & Security 1
ArthurAI RAG Notebooks API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (API_Key).
API_Key — Bearer token authentication with an API key
Paths & Operations 8
Across 4 paths, the API surfaces 8 operations — 1 DELETE, 4 GET, 1 POST, 2 PUT. Each is listed below with its method, path, parameters, and response codes.
The contract defines 39 schemas that model the data the API accepts and returns. The most detailed are WeaviateHybridSearchSettingsConfigurationRequest (16 properties), WeaviateHybridSearchSettingsConfigurationResponse (16 properties), RagExperimentSummary (14 properties), WeaviateVectorSimilarityTextSearchSettingsConfigurationResponse (12 properties). Each schema is shown below with its type and property counts.
ExperimentOutputSource
object
Reference to experiment output
1 property
DatasetRefInput
object
Reference to a dataset and version for input (without name)
2 properties2 required
RagExperimentSummary
object
Summary of a RAG experiment
14 properties11 required
MetadataQuery
object
Define which metadata should be returned in the query's results.
8 properties
NewDatasetVersionRowColumnItemRequest
object
Represents a single column-value pair in a dataset row.
2 properties2 required
DatasetColumnSource
object
Reference to a dataset column
1 property1 required
EvalRef-Output
object
Reference to an evaluation configuration
3 properties3 required
PaginationSortMethod
string
ExperimentOutputVariableSource
object
Variable source from experiment output
2 properties2 required
SetRagNotebookStateRequest
object
Request to set the RAG notebook state
1 property1 required
RagNotebookSummary
object
Summary of a RAG notebook
9 properties6 required
RagExperimentListResponse
object
Paginated list of RAG experiments
5 properties5 required
RagNotebookStateResponse
object
Draft state of a RAG notebook - mirrors RAG experiment config but all fields optional. Used for responses (output).
4 properties
RagNotebookState
object
Draft state of a RAG notebook - mirrors RAG experiment config but all fields optional. Used for requests (input).
4 properties
HybridFusion
string
Define how the query's hybrid fusion operation should be performed.
ValidationError
object
5 properties3 required
SavedRagConfig-Input
object
Configuration for a saved RAG setting configuration version
4 properties3 required
WeaviateHybridSearchSettingsConfigurationResponse
object
16 properties1 required
UnsavedRagConfigResponse
object
Configuration for an unsaved RAG search setting (response version)
5 properties3 required
DatasetColumnVariableSource
object
Variable source from a dataset column
2 properties2 required
_MultiTargetVectorJoinEnum
integer
Define how multi target vector searches should be combined.
SavedRagConfig-Output
object
Configuration for a saved RAG setting configuration version
Every API here is available over the API and to AI agents over MCP. APIs is not yet its own endpoint on the v1 API. Reach this content through network search and the tag graph, or the MCP server below.
Installs https://mcp.apievangelist.com/mcp in Claude, Cursor, VS Code and the rest — one button, every client.
MCP tools for apis
4 tools reach this content
search_api_evangelistSearch every content type across the network at once.
find_relatedThe shared-tag relevance graph — what else covers this.
get_tagEverything one tag labels, across all content types.
guide_topicPRO — a curated bundle for a topic: area, guidance, rules, papers, stories, services.
A second provider on the same verified email joins the account you already have.
Your account
ⓘWhere this information came from
This is an independent, third-party profile of ArthurAI RAG Notebooks API, published by
API Evangelist. We do not operate, host, resell, or
support these APIs, and we are not affiliated with or endorsed by the company unless stated above.
Everything here is built from publicly available information — the company's own site,
developer portal, documentation, public repositories, and the specifications it publishes for public use.
Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's
public API artifacts, scored against a published rubric. They are not certifications,
endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and
you do not need to justify the request. A removed company is recorded as unrated, never scored
zero for having asked. Acknowledgement within one business day; removal within two.
info@apievangelist.com
·
Read the full data-sourcing policy → On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.