Map a collection of technical documents
Use a document assistant to connect major concepts with the files and systems that explain them.
How this works
Use a document assistant to connect major concepts with the files and systems that explain them. A document collection is easier to navigate when readers can see concepts and their supporting files, but generated maps can invent relationships that the source never establishes. The map should distinguish explicit links from useful proposed associations.
Extract a controlled concept list from approved technical documents, resolve synonyms, and connect each node and edge to evidence. Produce a navigable map plus a source index. Use an available diagram tool or a simple structured text representation when visual rendering is unavailable.
Before you start
Document scope
Choose current approved documents and access boundaries.
Reader purpose
Define whether the map supports onboarding, architecture review, or research.
Relationship vocabulary
Agree edge types such as depends on, implements, produces, or references.
Prepare the inputs
- documents
- Required
Files with stable IDs
Retain versions and section locators.
- system_context
- Required
Known terminology
Identify acronyms and aliases.
- map_scope
- Required
Depth and focus
Avoid mapping every noun in the corpus.
- edge_types
- Required
Defined relationships
Separate explicit evidence from inferred association.
- reader_questions
- Required
Navigation goals
Use them to prioritize concepts.
Implementation, step by step
Inventory the corpus
- Record document versions and flag obsolete or inaccessible items.
- Keep historical material separate when it conflicts with current descriptions.
Checkpoint: A source manifest.
Extract candidate concepts
- Identify systems, data objects, processes, and important technical terms.
- Attach the source section and avoid creating nodes from incidental wording.
Checkpoint: A concept candidate table.
Resolve terminology
- Merge true synonyms and preserve ambiguous terms with context.
- Do not merge similarly named components without evidence of identity.
Checkpoint: A reviewed concept dictionary.
Build evidence-backed edges
- Connect concepts using the agreed relationship types.
- Store the passage supporting each edge and label any proposed association clearly.
Checkpoint: A traceable graph.
Design a useful view
- Group concepts around the reader's questions and reduce visual clutter.
- Provide a source index or text fallback so the map remains usable without a particular diagram tool.
Checkpoint: A navigable concept map.
Validate and maintain
- Have a knowledgeable owner inspect important nodes, directions, and missing relationships.
- Record corrections and the corpus version so later updates can be compared.
Checkpoint: A reviewed map package.
Decisions along the way
Two documents use the same term differently
Keep separate scoped definitions until an owner resolves them.
Relationship is plausible but unstated
Label it inferred or omit it from the factual map.
The graph becomes unreadable
Create focused views rather than shrinking all labels.
What you will produce
concept-map.json
JSONA portable graph with provenance.
Include: nodes · edges · edge_type · evidence_ref · certainty
concept-index.md
MarkdownLets readers navigate the underlying material.
Include: concept · definition · aliases · documents · open_questions
Check the result
- Trace important edges to source passages.
- Verify directionality of dependencies and data flow.
- Inspect merged synonyms for false equivalence.
- Check that obsolete documents do not silently override current definitions.
When something goes wrong
The assistant invents an architectural dependency
Remove the edge unless evidence or owner confirmation supports it.
Extraction loses section references
Restore locators before publishing the map.
A new document changes a concept
Version the map and review affected edges.
A worked example
SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT
Request
Map a small reporting system's documentation.
Inputs
Synthetic example. Synthetic D1 says an importer writes normalized rows; D2 says a dashboard reads those rows. No document says the dashboard writes back.
Expected result
Synthetic expected result. Map importer produces rows and dashboard reads rows. Do not add a reverse update path.
Run a small pilot
Start small
A small corpus around one system or topic.
Record the baseline
Record time to answer navigation questions and owner corrections.
Agree success criteria
Agree evidence coverage and relationship accuracy.
Stop or revise
Stop factual-map use when core relationships lack source support.
Keep the scope clear
- Respect the source documents' access scope in the shared map.
- A concept map does not authorize modifying the documented systems.
Check before using
Check that each relationship and explanation is supported by the supplied material.
Business activities
- Maintain shared company knowledge
FROM A RECIPE TO YOUR WORKFLOW
Bring the company context together.
This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.
For this recipe: Technical documentation · System descriptions
Start with one recurring task, agree which sources to use, and review the first result with your team.
Discuss this workflow