Vectorize

aid: vectorize-io
url: https://raw.githubusercontent.com/api-evangelist/vectorize-io/refs/heads/main/apis.yml
name: Vectorize
kind: company
description: Vectorize is a RAG (retrieval-augmented generation) pipeline platform that
  ingests unstructured data, chunks and embeds it, and serves low-latency retrieval
  against a managed vector database. The Vectorize API lets developers create, start,
  and stop RAG pipelines, run retrieval, manage source / destination / AI-platform
  connectors, upload files, extract documents with Iris, and run deep research.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- AI
- RAG
- Vectorization
- Embeddings
- Retrieval
- Vector Database
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: vectorize-io:vectorize-pipelines-api
  name: Vectorize Pipelines API
  tags:
  - RAG
  - Pipelines
  - Ingest
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/build-deploy/data-pipelines/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: Create, list, retrieve, start, stop, and delete organization-scoped RAG
    pipelines that wire source connectors, an AI-platform embedding connector, and a
    destination vector database together, plus pipeline events and metrics.
- aid: vectorize-io:vectorize-retrieval-api
  name: Vectorize Retrieval API
  tags:
  - Retrieval
  - Search
  - Reranking
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: Per-pipeline retrieval endpoint that vectorizes the input question, runs
    a k-ANN search against the pipeline's vector index, applies optional reranking and
    metadata filters, and returns ranked document chunks with relevancy scores.
- aid: vectorize-io:vectorize-connectors-api
  name: Vectorize Connectors API
  tags:
  - Connectors
  - Sources
  - Destinations
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/integrations/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: CRUD management of source connectors (data sources), destination connectors
    (vector databases), and AI-platform connectors (embedding / model providers), plus
    per-source user authorization for OAuth-style connectors.
- aid: vectorize-io:vectorize-file-upload-api
  name: Vectorize File Upload API
  tags:
  - Files
  - Upload
  - Storage
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/build-deploy/data-sources/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: Upload generic files to the platform via a pre-signed URL flow, and push
    or delete files against a File Upload source connector for ingestion into a pipeline.
- aid: vectorize-io:vectorize-extraction-iris-api
  name: Vectorize Extraction (Iris) API
  tags:
  - Extraction
  - Iris
  - Chunking
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: Vectorize Iris document extraction - start an extraction job against an
    uploaded file to convert it into Markdown chunks with optional metadata, and poll
    for the asynchronous extraction result.
- aid: vectorize-io:vectorize-deep-research-api
  name: Vectorize Deep Research API
  tags:
  - Deep Research
  - Agents
  - RAG
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  properties:
  - url: https://docs.vectorize.io/build-deploy/data-pipelines/
    type: Documentation
  - url: https://docs.vectorize.io/reference/api/api-getting-started/
    type: APIReference
  - url: openapi/vectorize-io-openapi.yml
    type: OpenAPI
  - url: collections/vectorize-io.postman_collection.json
    type: PostmanCollection
  description: Start a private deep-research run grounded in a pipeline's vector index
    (optionally augmented with web search) and poll for the generated research report.
common:
- type: GitHubOrganization
  url: https://github.com/vectorize-io
- type: LinkedIn
  url: https://www.linkedin.com/company/vectorize-io
- type: Website
  url: https://vectorize.io/
- type: Documentation
  url: https://docs.vectorize.io
- type: Plans
  url: plans/vectorize-io-plans-pricing.yml
- type: RateLimits
  url: rate-limits/vectorize-io-rate-limits.yml
- type: FinOps
  url: finops/vectorize-io-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com