Managed Vector Store
A Managed Vector Store is a specialized data service designed to store, index, and retrieve high-dimensional vector embeddings, enabling similarity search and machine learning inference. These services are used in AI/ML pipelines for use cases such as semantic search, recommendation systems, and generative AI applications. Vector stores support operations like nearest neighbor search using approximate or exact methods and integrate with model-serving and ingestion pipelines. They are optimized for performance, scale, and integration with cloud-native tools.
Release Details
Version:
DEV
Assurance Level:
Release Manager:
DB
Development Build
Contributors
DT
Development Team
Change Log
- Development build - no formal changelog available
Capabilities
ID | Title | Description | Threat Mappings |
---|---|---|---|
CCC.Vector.F01 | Embedding Storage | Supports storage of high-dimensional vector embeddings derived from raw input data such as text, images, or audio. | 0 |
CCC.Vector.F02 | Vector Indexing | Provides creation and management of indexes optimized for similarity search, such as HNSW, IVF, or PQ. | 0 |
CCC.Vector.F03 | Similarity Search | Enables nearest-neighbor queries using a query embedding to return the most similar vectors from the store. | 0 |
CCC.Vector.F04 | Metadata Filtering | Supports structured filtering on metadata fields alongside vector similarity search queries. | 0 |
CCC.Vector.F05 | Batch Ingestion | Allows for high-throughput batch upload and deletion of vectors and associated metadata. | 0 |
CCC.Vector.F06 | Real-Time Querying | Provides low-latency response to vector similarity queries suitable for interactive applications. | 0 |
CCC.Vector.F07 | Index Lifecycle Management | Enables automated or manual creation, optimization, and removal of vector indexes. | 0 |
CCC.Vector.F08 | Embedding Format Compatibility | Supports standard vector formats and integrates with common embedding generators (e.g., OpenAI, HuggingFace, TensorFlow). | 0 |
CCC.Vector.F09 | Vector Dimension Management | Supports storing and managing vectors of specific or dynamic dimensionality, depending on model needs. | 0 |
CCC.Vector.F10 | Multi-modal Vector Support | Supports storing and searching across vectors derived from multiple modalities (e.g., text, image, audio). | 0 |
CCC.Vector.F11 | Query Access Control | Provides the ability to restrict who can run vector similarity or metadata filter queries, separate from data modification rights. | 0 |
CCC.Vector.F12 | Approximate or Exact Search Modes | Supports both approximate nearest neighbor (ANN) algorithms for speed and exact search modes for precision-critical applications. | 0 |