One Representation. One Query. Better Results.
Aspect Database encodes semantics and metadata together into a single vector.
Instead of:
• Embedding + filters + reranking
You get:
• Multi-dimensional retrieval in one step
From Filters to Signals
Traditional systems ask:
“Does this document match the filter?”
Aspect Database asks:
“How much should this matter for relevance?”
This enables:
• Weighted ranking instead of hard constraints
• Context-aware retrieval
• More natural and accurate results
Built for RAG Developers
Better retrieval quality
Reduce hallucinations by retrieving the right context
Simpler architecture
Replace multi-stage pipelines with a single query
Scalable performance
Optimized vector search without filtering overhead
More expressive queries
Combine meaning, time, type, and context naturally
