Build internal knowledge answers with a retrieval test
Prepare an approved document corpus and test citations, access boundaries, and unanswerable questions before opening an internal assistant.
Setup time
4-8 hours
Time saved
Measure in your pilot; no guaranteed saving
Best for
Internal knowledge teams
Tools
Notion, Docling, Dust, Google Sheets, Stack AI, Jina AI, Voyage AI
Quick answer
How does the “Build internal knowledge answers with a retrieval test” workflow work?
There are two implementation routes: a managed Dust or Stack AI assistant, or a developer-built retrieval pipeline. The parser and embedding providers are optional components for the latter, not guaranteed native integrations with every managed platform. It takes about 4-8 hours, uses Notion, Docling, Dust, Google Sheets, Stack AI, Jina AI, Voyage AI, and follows 4 documented steps.
Published by GPTNavi Editorial TeamLast materially updated
Built from public product information and practical workflow-design patterns. Verify current pricing, features, and policies with each provider.
Overview
There are two implementation routes: a managed Dust or Stack AI assistant, or a developer-built retrieval pipeline. The parser and embedding providers are optional components for the latter, not guaranteed native integrations with every managed platform.
When to use this workflow
Tools you need
Notion
Workspace
Workspace for docs, databases, calendars, SOPs, and team knowledge bases.
Visit websiteDocling
Developer automation
Open-source document conversion for structured extraction from PDFs and other formats. Local processing is useful for controlled document pipelines; inspect tables and reading order.
Visit websiteDust
AI bot builder
Team AI agents connected to company knowledge and tools. Suitable for reviewed internal answers when source access and team permissions are configured carefully.
Visit websiteGoogle Sheets
Spreadsheet
Spreadsheet tool for lists, planning, lightweight reporting, and repeatable review workflows.
Visit websiteStack AI
AI bot builder
Visual enterprise AI workflows connecting models, knowledge, and business tools. A limited free plan supports exploration; enterprise access controls and capacity need a separate plan check.
Visit websiteJina AI
AI search
Search components including reader, embedding, and reranking services. Useful for converting web pages and improving retrieval; hosted usage and model licences differ.
Visit websiteVoyage AI
Developer automation
Embedding and reranking models for retrieval systems. Compare relevance on your own labelled questions instead of assuming a benchmark winner fits every corpus.
Visit websiteStep-by-step workflow
Approve a small corpus
Select twenty current documents with owners and access groups. Exclude secrets and expired policies. Write fifteen answerable questions and five questions that must be refused or escalated.
Tool used
Notion
Expected output
Versioned corpus and test questions
Inspect extraction
For a custom pipeline, run Docling locally and inspect tables and page order. Use Jina AI Reader only for approved web documents where cloud processing is allowed. Keep source IDs and access metadata attached to chunks.
Tool used
Docling
Expected output
Audited text chunks with provenance
Choose a deployment route
For a managed pilot, connect approved sources in Dust or Stack AI and test permissions. For a custom pipeline, benchmark Voyage AI against Jina embeddings or rerankers on your labelled questions; write the integration explicitly rather than assuming compatibility.
Tool used
Dust
Expected output
One restricted pilot assistant
Gate access on evidence
Run the twenty questions as two different permission groups. Check citations against exact source passages, mark unsupported answers wrong, and require zero cross-group disclosures. Keep an escalation path for missing answers.
Tool used
Google Sheets
Expected output
Acceptance report with failures and owners
Prompt templates
Adaptable task prompt
Answer [question] using only the supplied authorized passages [passages]. Cite the exact document and section. If evidence is missing or conflicting, state that and request review. Do not expose documents outside the requester's access group.Automation ideas
- Re-index only approved document changes and rerun the fixed question set before publishing the new corpus.
Common mistakes
- Assuming managed tools accept every external embedding provider
- Checking answer fluency instead of evidence and permissions
Related workflows
Route inbound requests to an approved owner task
Classify incoming requests, ask for approval when uncertain, and create exactly one owned task without automatic customer-facing actions.
Setup
2-4 hours
Saves
Measure in your pilot; no guaranteed saving