Reference implementation · Knowledge-intensive teams
AI knowledge assistant grounded in company documents
A retrieval-augmented AI assistant that answers staff and customer questions from approved documents, with citations and access control.
app.fairbazaar.in/ai
What is the leave policy for field staff?
Field staff receive the standard leave allocation plus regional holidays. Requests need manager approval 3 days ahead. [HR Policy §4.2]
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Reference implementation: describes approach and expected outcomes; no client-specific data or metrics are claimed.
The problem
Policies, product information and procedures live across PDFs, drives and wikis. Teams spend time searching or asking colleagues, and answers are inconsistent.
Business challenge
- Knowledge spread across formats
- Inconsistent answers
- Sensitive documents need access control
- Risk of AI hallucination
The solution
Build a RAG pipeline that ingests approved documents, retrieves relevant passages per question and generates cited answers, restricted by user permissions and evaluated against test questions.
Implementation
- 1
Scope
Select document sets, users and evaluation questions.
- 2
Ingest
Parse, chunk and embed documents with metadata and permissions.
- 3
Evaluate
Measure answer accuracy and citation quality; tune retrieval.
- 4
Deploy
Web and chat interfaces with logging and feedback.
Workflow
Before and after
Before
- Manual searching
- Repeated questions to experts
- Inconsistent answers
After
- Instant answers with sources
- Experts freed for complex issues
- Consistent, auditable responses
Architecture
How it fits together
Ingestion
- Document parsers
- Chunking
- Embeddings
Retrieval
- Vector search
- Permission filter
- Re-ranking
Generation
- LLM
- Citation formatter
- Guardrails
Expected outcomes
- Faster access to knowledge
- Reduced repetitive queries
- Answers traceable to sources
app.fairbazaar.in/ai
What is the leave policy for field staff?
Field staff receive the standard leave allocation plus regional holidays. Requests need manager approval 3 days ahead. [HR Policy §4.2]
Searched 3 documentsChecked permissionsCited source
Agent action: create leave request draftNeeds approval
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