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Release · v2026.06-rc4

FINOS-CCC/CCC.Vector.CP Capability Catalog

FINOS-CCC/CCC.Vector.CP

Capabilities for Managed Vector Store technologies, as defined by the FINOS Common Cloud Controls project.

Published by FINOS Common Cloud Controls

Install

OCI v1.1
$grcli unpack --repository finos-ccc/ccc.vector.cp --tag v2026.06-rc4
Coordinate
oci.grc.store/finos-ccc/ccc.vector.cp:v2026.06-rc4
Manifest digest
sha256:106af74613580bcac86ca57a9311b4278651b7d9419aa03c67689f176fab4821

Provenance

1 layer
Digest Media type Size
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Bundle config blob 
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CCC Managed Vector Store Capabilities

Capabilities for Managed Vector Store technologies, as defined by the FINOS Common Cloud Controls project.

ID
CCC.Vector.CP
Version
v2026.06-rc4
Gemara version
v1.2.0
Author
FINOS Common Cloud Controls

Data Resilience

The Data Resilience group covers entries related to ensuring data availability, integrity, and sovereignty across its lifecycle. This includes replication, backup, recovery, region restrictions, and protection against data loss or corruption.

  1. CCC.Vector.CP01 Embedding Storage

    Supports storage of high-dimensional vector embeddings derived from raw input data such as text, images, or audio.

  2. CCC.Vector.CP02 Vector Indexing

    Provides creation and management of indexes optimized for similarity search, such as HNSW, IVF, or PQ.

  3. CCC.Vector.CP03 Similarity Search

    Enables nearest-neighbor queries using a query embedding to return the most similar vectors from the store.

  4. CCC.Vector.CP04 Metadata Filtering

    Supports structured filtering on metadata fields alongside vector similarity search queries.

  5. CCC.Vector.CP06 Real-Time Querying

    Provides low-latency response to vector similarity queries suitable for interactive applications.

  6. CCC.Vector.CP09 Vector Dimension Management

    Supports storing and managing vectors of specific or dynamic dimensionality, depending on model needs.

  7. CCC.Vector.CP10 Multi-modal Vector Support

    Supports storing and searching across vectors derived from multiple modalities (e.g., text, image, audio).

  8. CCC.Vector.CP12 Approximate or Exact Search Modes

    Supports both approximate nearest neighbor (ANN) algorithms for speed and exact search modes for precision-critical applications.

Ingestion

The Ingestion group covers entries related to how a service receives or retrieves data, inputs, or commands for processing. This includes both active (pull-based) and passive (push-based) ingestion patterns.

  1. CCC.Vector.CP05 Batch Ingestion

    Allows for high-throughput batch upload and deletion of vectors and associated metadata.

Resource Management

The Resource Management group covers entries related to the lifecycle, configuration, and operational integrity of cloud resources. This includes resource exhaustion, tag manipulation, version rollback, scaling, and cost management.

  1. CCC.Vector.CP07 Index Lifecycle Management

    Enables automated or manual creation, optimization, and removal of vector indexes.

Machine Learning

The Machine Learning group covers entries related to building, training, deploying, and managing ML models and AI systems. This includes development environments, experiment tracking, model registries, inference, generative AI, prompt engineering, and model governance.

  1. CCC.Vector.CP08 Embedding Format Compatibility

    Supports standard vector formats and integrates with common embedding generators (e.g., OpenAI, HuggingFace, TensorFlow).

Access Control

The Access Control group covers entries related to authentication, authorization, and trust perimeter enforcement. This includes multi-factor authentication, least privilege access, network access rules, and prevention of unauthorized access or reconnaissance.

  1. CCC.Vector.CP11 Query Access Control

    Provides the ability to restrict who can run vector similarity or metadata filter queries, separate from data modification rights.