UCE
Unified Context Engine • v1.5.0
Just-in-Time Context for AI Systems
UCE is the unified context engine. It provides just-in-time context retrieval for AI systems, combining vector search, knowledge graphs, and real-time data streams.
Architecture
The layers below describe how UCE is structured inside the wider ALIAS stack.
Ingest
Multi-modal data ingestion
Embed
Vector embedding generation
Index
Hybrid vector + graph indexing
Retrieve
Context-aware retrieval
What this layer does
The features below describe the job this system is meant to do inside a governed operating model.
JIT Context
Retrieve exactly what the agent needs, when needed
Multi-Modal
Text, image, code, and structured data
Temporal Awareness
Time-bounded context windows
Source Attribution
Every fact traced to its origin
Signals
These numbers and markers help describe the shape of UCEinside the ALIAS system rather than pretending to be standalone sales proof.
Integrations
Systems do not matter in isolation. These are some of the adjacent services and surfaces UCE is designed to work with.
Need this layer in your stack?
Talk to ALIAS about where UCE fits in the workflow, what it should own, and how it should connect to the rest of the operating model.