| ID | Title | Description | Threat Mappings |
|---|---|---|---|
| CCC.Vector.CP01 | Embedding Storage | Supports storage of high-dimensional vector embeddings derived from raw input data such as text, images, or audio. | 1 |
| CCC.Vector.CP02 | Vector Indexing | Provides creation and management of indexes optimized for similarity search, such as HNSW, IVF, or PQ. | 1 |
| CCC.Vector.CP03 | Similarity Search | Enables nearest-neighbor queries using a query embedding to return the most similar vectors from the store. | 1 |
| CCC.Vector.CP04 | Metadata Filtering | Supports structured filtering on metadata fields alongside vector similarity search queries. | 1 |
| CCC.Vector.CP05 | Batch Ingestion | Allows for high-throughput batch upload and deletion of vectors and associated metadata. | 1 |
| CCC.Vector.CP06 | Real-Time Querying | Provides low-latency response to vector similarity queries suitable for interactive applications. | 1 |
| CCC.Vector.CP07 | Index Lifecycle Management | Enables automated or manual creation, optimization, and removal of vector indexes. | 2 |
| CCC.Vector.CP08 | Embedding Format Compatibility | Supports standard vector formats and integrates with common embedding generators (e.g., OpenAI, HuggingFace, TensorFlow). | 1 |
| CCC.Vector.CP09 | Vector Dimension Management | Supports storing and managing vectors of specific or dynamic dimensionality, depending on model needs. | 1 |
| CCC.Vector.CP10 | Multi-modal Vector Support | Supports storing and searching across vectors derived from multiple modalities (e.g., text, image, audio). | 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. | 1 |
| 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. | 1 |
Database / Vector
Capabilities
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