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Vellum AI Subpackage Document Indexes API

The subpackage_documentIndexes API from Vellum AI — 3 operation(s) for subpackage_documentindexes.

Vellum AI Subpackage Document Indexes API is one of 23 APIs that Vellum AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include subpackage_documentIndexes. The published artifact set on APIs.io includes an OpenAPI specification.

This API exposes 8 operations across 3 paths, and defines 79 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.

Requests are made against 3 base URLs: https://predict.vellum.ai, https://api.vellum.ai, https://documents.vellum.ai.

8 operations 3 paths 79 schemas 2 DELETE2 GET1 PATCH2 POST1 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.0
Base URL
https://api.vellum.ai
Authentication
API Key
Resource Areas
1

Authentication & Security 1

Vellum AI Subpackage Document Indexes API declares 1 security scheme for authenticating requests. An API key is passed in the header as X-API-KEY (default).

Paths & Operations 8

Across 3 paths, the API surfaces 8 operations — 2 DELETE, 2 GET, 1 PATCH, 2 POST, 1 PUT. Each is listed below with its method, path, parameters, and response codes.

subpackage_documentIndexes 8
POST
/v1/document-indexes/{id}/documents/{document_id}
Add Document
add-document 4 params → 204
DELETE
/v1/document-indexes/{id}/documents/{document_id}
Remove Document
remove-document 4 params → 204
POST
/v1/document-indexes
Create
create 2 params body → 201
GET
/v1/document-indexes
List
list 7 params → 200
GET
/v1/document-indexes/{id}
Retrieve
retrieve 4 params → 200
PATCH
/v1/document-indexes/{id}
Partial Update
partial-update 3 params body → 200
PUT
/v1/document-indexes/{id}
Update
update 3 params body → 200
DELETE
/v1/document-indexes/{id}
Destroy
destroy 3 params → 204

Schemas 79

The contract defines 79 schemas that model the data the API accepts and returns. The most detailed are DocumentIndexRead (6 properties), DocumentIndexCreateRequest (5 properties), PaginatedDocumentIndexReadList (4 properties), InstructorVectorizerConfig (3 properties). Each schema is shown below with its type and property counts.

TokenOverlappingWindowChunkingRequest
object
Token overlapping window chunking
2 properties 1 required
BasicVectorizerIntfloatMultilingualE5Large
object
Basic vectorizer for intfloat/multilingual-e5-large.
2 properties 1 required
ReductoChunkerConfigRequest
object
Configuration for Reducto chunking
1 property
GoogleVertexAIVectorizerTextMultilingualEmbedding002
object
2 properties 2 required
AddOpenaiApiKeyEnum
boolean
True - True
BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1Request
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-cos-v1.
2 properties 1 required
GoogleVertexAIVectorizerGeminiEmbedding001
object
2 properties 2 required
DocumentIndexUpdateRequest
object
2 properties 1 required
GoogleVertexAIVectorizerTextEmbedding004
object
2 properties 2 required
SentenceChunking
object
Sentence chunking
2 properties 1 required
SentenceChunkerConfigRequest
object
Configuration for sentence chunking
2 properties
OpenAIVectorizerTextEmbeddingAda002
object
OpenAI vectorizer for text-embedding-ada-002.
2 properties 2 required
DocumentIndexRead
object
6 properties 5 required
DocumentIndexChunkingRequest
GoogleVertexAIVectorizerTextMultilingualEmbedding002Request
object
2 properties 2 required
OpenAIVectorizerTextEmbeddingAda002Request
object
OpenAI vectorizer for text-embedding-ada-002.
2 properties 2 required
ReductoChunking
object
Reducto chunking
2 properties 1 required
GoogleVertexAIVectorizerConfigRequest
object
2 properties 2 required
PaginatedDocumentIndexReadList
object
4 properties
ReductoChunkerConfig
object
Configuration for Reducto chunking
1 property
InstructorVectorizerConfig
object
Configuration for using an Instructor vectorizer.
3 properties 3 required
text-embedding-ada-002Enum
string
gemini-embedding-001Enum
string
GoogleVertexAIVectorizerGeminiEmbedding001Request
object
2 properties 2 required
text-embedding-004Enum
string
TokenOverlappingWindowChunkerConfigRequest
object
Configuration for token overlapping window chunking
2 properties
BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-dot-v1.
2 properties 1 required
SentenceChunkerConfig
object
Configuration for sentence chunking
2 properties
OpenAIVectorizerTextEmbedding3LargeRequest
object
OpenAI vectorizer for text-embedding-3-large.
2 properties 2 required
SentenceChunkingRequest
object
Sentence chunking
2 properties 1 required
ReductoChunkingRequest
object
Reducto chunking
2 properties 1 required
OpenAIVectorizerTextEmbedding3SmallRequest
object
OpenAI vectorizer for text-embedding-3-small.
2 properties 2 required
FastEmbedVectorizerBAAIBgeSmallEnV15Request
object
FastEmbed vectorizer for BAAI/bge-small-en-v1.5.
1 property 1 required
DocumentIndexIndexingConfigRequest
object
2 properties 1 required
HkunlpInstructorXlVectorizer
object
Vectorizer for hkunlp/instructor-xl.
2 properties 2 required
OpenAIVectorizerConfig
object
Configuration for using an OpenAI vectorizer.
1 property
TokenOverlappingWindowChunking
object
Token overlapping window chunking
2 properties 1 required
reducto-chunkerEnum
string
OpenAIVectorizerTextEmbedding3Large
object
OpenAI vectorizer for text-embedding-3-large.
2 properties 2 required
sentence-transformers-multi-qa-mpnet-base-cos-v1Enum
string
private-vectorizerEnum
string
DelimiterChunking
object
2 properties 1 required
sentence-transformers-multi-qa-mpnet-base-dot-v1Enum
string
BasicVectorizerIntfloatMultilingualE5LargeRequest
object
Basic vectorizer for intfloat/multilingual-e5-large.
2 properties 1 required
V1DocumentIndexesGetParametersStatus
string
OpenAIVectorizerTextEmbedding3Small
object
OpenAI vectorizer for text-embedding-3-small.
2 properties 2 required
TokenOverlappingWindowChunkerConfig
object
Configuration for token overlapping window chunking
2 properties
document-indexes_remove_document_Response_204
object
Empty response body
text-embedding-3-smallEnum
string
baai-bge-small-en-v1.5Enum
string
OpenAIVectorizerConfigRequest
object
Configuration for using an OpenAI vectorizer.
1 property
DelimiterChunkingRequest
object
2 properties 1 required
InstructorVectorizerConfigRequest
object
Configuration for using an Instructor vectorizer.
3 properties 3 required
DocumentIndexCreateRequest
object
5 properties 3 required
EntityStatus
string
ACTIVE - Active ARCHIVED - Archived PENDINGDELETION - Pending Deletion
intfloat-multilingual-e5-largeEnum
string
DelimiterChunkerConfigRequest
object
2 properties
GoogleVertexAIVectorizerTextEmbedding004Request
object
2 properties 2 required
GoogleVertexAIVectorizerConfig
object
2 properties 2 required
HkunlpInstructorXlVectorizerRequest
object
Vectorizer for hkunlp/instructor-xl.
2 properties 2 required
IndexingConfigVectorizer
document-indexes_destroy_Response_204
object
Empty response body
PrivateVectorizer
object
Serializer for private vectorizer.
1 property 1 required
BasicVectorizerSentenceTransformersMultiQaMpnetBaseCosV1
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-cos-v1.
2 properties 1 required
hkunlp-instructor-xlEnum
string
DocumentIndexChunking
IndexingConfigVectorizerRequest
text-multilingual-embedding-002Enum
string
BasicVectorizerSentenceTransformersMultiQaMpnetBaseDotV1Request
object
Basic vectorizer for sentence-transformers/multi-qa-mpnet-base-dot-v1.
2 properties 1 required
DelimiterChunkerConfig
object
2 properties
delimiter-chunkerEnum
string
FastEmbedVectorizerBAAIBgeSmallEnV15
object
FastEmbed vectorizer for BAAI/bge-small-en-v1.5.
1 property 1 required
text-embedding-3-largeEnum
string
sentence-chunkerEnum
string
DocumentIndexIndexingConfig
object
2 properties 1 required
PatchedDocumentIndexUpdateRequest
object
2 properties
document-indexes_add_document_Response_204
object
Empty response body
PrivateVectorizerRequest
object
Serializer for private vectorizer.
1 property 1 required
token-overlapping-window-chunkerEnum
string

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

vellum-subpackage-documentindexes-api-openapi.yml Raw ↑

Other APIs Vellum AI publishes across the network.

Vellum LLM Platform API
Vellum AI Subpackage Deployments API
Vellum AI Subpackage Documents API
Vellum AI Subpackage Events API
Vellum AI Subpackage Folder Entities API
Vellum AI Subpackage Sandboxes API
Vellum AI Subpackage Test Suite Runs API
Vellum AI Subpackage Test Suites API
Vellum AI Subpackage Uploaded Files API
Vellum AI Subpackage Workflow Deployments API
Vellum AI Subpackage Workflow Executions API
Vellum AI Subpackage Workflows API
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