The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
RAG systemsgrounded in trustedbusiness knowledge.
Make scattered company information available through a single question.
Governed Retrieval Layer: approved documents, databases and internal systems feed a governed retrieval layer that applies permissions, freshness and source traceability. A user or application query enters that layer, relevant knowledge is retrieved, the strongest evidence is reranked to the front, a grounded response is generated, and the answer returns with citations back to their sources.
Query
Documents
Databases
Internal Systems
Retrieve
Rerank
Generate
Citations
Governed Retrieval Layer
What Can We Build?
Explore AI servicesKnowledge Search
Employee Onboarding
Document Comparison
Support Lookup
Policy Questions
Research Briefs
What You Actually Get
- Source Connectors
- Ingestion Pipeline
- Chunking Configuration
- Search Index
- Ranking Rules
- Access Filters
- Citation Formatter
- Retrieval Test Set
- Source Connectors
- Ingestion Pipeline
- Chunking Configuration
- Search Index
- Ranking Rules
- Access Filters
- Citation Formatter
- Retrieval Test Set
A guest asks.
The hotel answers.
Illustrative hotel concierge example. A guest asks what time breakfast is. The assistant finds the dining section in the hotel guest guide, highlights the breakfast hours and location, and replies: Breakfast is served from 7–10 AM in the ground-floor dining room. The reply cites the guest guide. This is a scripted animation using sample information.
What Does It Take to Build?
Get a custom estimatePilot
- One use case
- Limited source set
- Pilot validation
- Most popular
Production
- Multiple knowledge sources
- Application integration
- Production rollout
Multi-Team
- Multiple departments
- Large knowledge estate
- Multiple retrieval strategies
- Ongoing engineering
- Founded in
- 2013
- Projects delivered
- 550+
- Client countries
- 43+
- Global offices
- 3
FAQs
How do you reduce unsupported answers?
We measure retrieval and answer quality separately, require grounded context, expose citations and define fallback behaviour when evidence is weak.
Can it respect document and tenant permissions?
Yes. Identity and access filters are applied before retrieval so users only receive context they are allowed to access.
How is knowledge kept current?
Ingestion tracks source ownership, updates, deletion and re-index operations so freshness can be monitored rather than assumed.
What do you need to start?
Useful inputs include representative sources, access rules, real questions, expected citations and reviewers who can judge answer quality.
Can it connect to existing applications?
Yes. Retrieval can be exposed through an application API or embedded into assistants and product workflows with the same permission controls.
What affects the delivery timeline?
Source quality, access rules, ingestion complexity, evaluation readiness and the number of product integrations shape the timeline.
Where does your team’s knowledge live?
Bring sample documents and questions people struggle to answer.
