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Business knowledge and RAG
Make your business knowledge usable by AI.
Your company knowledge may be scattered across documents, folders, policies, emails, spreadsheets, dashboards, and old systems. Folium Systems helps turn that knowledge into source-grounded AI assistants and controlled retrieval systems.
Knowledge supply chain
Your documents are not just files. They are the raw material for safer AI.
Folium helps turn scattered knowledge into a governed retrieval system with source rules, permissions, versioning, stale-content retirement, and answer-quality checks.
Inventory comes before ingestion.
Redaction, access, versioning, and freshness rules prevent unsafe knowledge reuse.
AI answers become easier to challenge because sources and limits are visible.
What Folium Builds
Clear systems, reviewable proof, and a path your team can operate.
Source-aware answers
We help organize what the assistant can use, how it cites sources, what gets excluded, and how stale knowledge gets retired.
- Document inventory
- RAG design
- Source-aware answers
- Knowledge update and retirement workflows
- Route, trace, and fallback governance
Memory with rules
Useful AI memory needs boundaries. We define retention, permission, retrieval, and escalation rules before knowledge becomes operational.
- Memory and retention rules
- Vector, relational, document, cache, and graph data patterns
- Database replication and integration readiness
- Canonical-to-derived data flow map
- Access and privacy boundaries
- Evaluation and answer-quality checks
- Memory namespace and promotion handoff rules
RAG and knowledge procedure
Business knowledge becomes usable only after it has rules.
A source-grounded assistant needs inventory, permissions, retrieval design, answer checks, citation habits, and retirement paths for stale material.
- 01 Inventory Find documents, folders, policies, SOPs, spreadsheets, emails, dashboards, and old-system knowledge.
- 02 Prepare Clean, chunk, tag, redact, permission, and version sources before retrieval.
- 03 Retrieve Use vector, keyword, relational, document, cache, graph, or hybrid retrieval patterns.
- 04 Answer Generate source-aware responses with citations, uncertainty handling, and human-friendly language.
- 05 Review Test grounding, retire stale knowledge, capture misses, and improve the source set.
Proof Point
AI answers from approved business knowledge.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Old and risky sources can be excluded.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Retrieval quality can be tested before launch.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Start here
Bring the next AI step under control.
You do not need to know every model name, runtime option, or integration path. Tell us what is slow, risky, expensive, confusing, or disconnected. We will help translate it into a practical AI systems plan.