The challenge
What was not working.
Enterprise knowledge assistants fail when retrieval ignores document permissions, answers cannot be traced, and prompt changes are shipped without regression evidence.
Architecture
How the system was framed.
- 01
Connector layer with incremental sync and deletion propagation
- 02
Chunking, embedding and hybrid retrieval with metadata filters
- 03
Permission-aware context assembly and reranking
- 04
LLM routing with structured output and citation validation
- 05
Evaluation, tracing and human feedback loop
Capabilities built
The working surface.
- Hybrid retrieval with metadata filters
- ACL-aware context assembly
- Citation enforcement
- Groundedness and retrieval evaluation
- Tool permission and human approval gates
What changed
Outcomes we can describe without inventing numbers.
Answers traceable to permitted sources
A measurable evaluation baseline before release
A rollback path for model and prompt changes
This is an engineering reference architecture, not a client engagement. It describes a design pattern and does not claim client names, outcomes or performance metrics.