Sources
Docs, tickets, PDFs, policies
The content people search manually today.
Solutions
AI knowledge base search for scattered docs, tickets, PDFs, and policies
Design searchable knowledge systems with retrieval, permissions, grounding, and evals.
Best fit
For teams that cannot trust where answers come from
Search needs source ownership, metadata, permissions, and tests.
Search Layer
Retrieval plus UX
Semantic search, filters, answers, and sources.
Trust
Permissions and citations
Role-aware access and source links.
Search design
The parts that decide whether users trust search
Users need the right source, a grounded answer, and clear limits.
Corpus
Source boundaries
Decide what belongs in the system.
Ownership
Types
Exclusions
Metadata
Chunking and metadata
Structure content for ranking and citations.
Chunks
Fields
References
Access
Permission-aware retrieval
Keep restricted content out of answers.
Roles
Customers
Sensitive docs
Evals
Answer-quality testing
Catch missing sources and unsupported answers.
Tests
Grounding
Failures
Engagement path
Design the knowledge system before choosing the interface
A search box or copilot should follow the architecture.
Typical outcome
A searchable knowledge system with permissions and quality checks.
01
Map sources and search jobs
Identify content, users, and decisions.
02
Design corpus and access
Define metadata, freshness, and permissions.
03
Build retrieval and UX
Implement ingestion, indexing, answers, and sources.
04
Evaluate and tune
Use representative questions and feedback.
Deliverables
What the engagement can include
Standalone search or the base for a copilot.
Source and workflow audit
Corpus and metadata design
Permission strategy
Retrieval UX
Answer-quality evals
FAQ
Common search questions
Do we need to clean every document first?
No. We decide which content matters and where cleanup is required.
Can it cite the source?
Yes. Source traceability is part of the design.
Related paths
Where knowledge search connects
Search supports RAG, copilots, automation, and reliability work.
Capability
Knowledge Systems & RAG
Design retrieval, ingestion, permissions, and answer quality.
Map knowledgeParent Service
Workflow Automation
Map, redesign, integrate, and harden business workflows.
View serviceProduction
AI Evals & Reliability
Add measurement, observability, fallbacks, and quality controls.
Review systemKnowledge SearchRAG discovery
Map your knowledge system
Tell us what people need to search and why answers are hard to trust.