specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: Vectorize
providerId: vectorize-io
created: '2026-06-20'
modified: '2026-06-20'
reconciled: true
tags:
- AI
- RAG
- Vectorization
- Embeddings
- Retrieval
- Vector Database
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of Vectorize RAG platform spend. Vectorize bills primarily through
  subscription tiers (Free / Starter / Professional / Enterprise) keyed to the
  number of RAG pipelines and monthly pages processed, plus the built-in vector
  database, vision-model PDF processing, retrieval queries, Iris extraction, and
  deep research. Cost drivers are page-processing volume (ingestion / extraction),
  number and update frequency of pipelines, and retrieval query volume.
notes: >-
  Subscription prices and page allowances are subject to change; verify against
  the Vectorize pricing page during reconciliation. The API is in Beta.
sources:
- https://vectorize.io/
- https://platform.vectorize.io
- https://docs.vectorize.io
- https://focus.finops.org/focus-specification/v1-3/
alignedWith:
  framework: FinOps Foundation Framework
  frameworkUrl: https://www.finops.org/framework/
  dataSpec: FOCUS
  dataSpecVersion: '1.3'
  dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/
publisherName: Vectorize
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Subscription-Based
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
  - Adjustment
focusColumns:
  ServiceName: Vectorize
  ServiceCategory: AI and Machine Learning
  ProviderName: Vectorize
  PublisherName: Vectorize
  InvoiceIssuerName: Vectorize
  BillingCurrency: USD
  ChargeCategory: Purchase
  PricingCategory: Subscription-Based
meters:
- name: subscription_tier
  description: Monthly subscription fee for the selected plan (Starter, Professional).
  unit: subscription
  aggregation: max
  dimensions:
  - organization
  - plan
- name: pipelines
  description: Number of active RAG pipelines against the tier allowance.
  unit: pipelines
  aggregation: max
  dimensions:
  - organization
  - pipeline
- name: pages_processed
  description: Document pages ingested / extracted per month, against the tier allowance.
  unit: pages
  aggregation: sum
  dimensions:
  - organization
  - pipeline
- name: retrieval_requests
  description: Retrieval (vector search) queries issued against pipelines.
  unit: requests
  aggregation: sum
  dimensions:
  - organization
  - pipeline
- name: extraction_jobs
  description: Iris document extraction jobs run via the Extraction API.
  unit: jobs
  aggregation: sum
  dimensions:
  - organization
  - pipeline
- name: deep_research_runs
  description: Deep research runs grounded in a pipeline's vector index.
  unit: jobs
  aggregation: sum
  dimensions:
  - organization
  - pipeline
- name: vision_pages
  description: Pages routed through vision-model processing for complex PDFs.
  unit: pages
  aggregation: sum
  dimensions:
  - organization
  - pipeline
principles:
- name: Visibility
  description: Track pages processed and pipeline count per month against tier allowances to anticipate the next tier or overage.
- name: Allocation
  description: Tag pipelines and access tokens per workload / team and map to internal cost centers.
- name: Optimization
  description: Right-size pipeline count and update frequency; tune chunkSize and reranking to control retrieval cost; reserve vision-model PDF processing for documents that need it.
- name: Accountability
  description: Assign owners per pipeline; review page-processing burn and subscription tier monthly against budget.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com