Example prompts
Talk2Graph understands plain language — you do not need special syntax. The examples below are grouped
by what you're trying to do. They are patterns, not magic words: rephrase them freely to match your own graph
and columns. Where a prompt refers to a column (like threat_score or account_type),
swap in a column that exists in your data.
Understand the graph
Ask about the shape and schema of what you're looking at.
- What's in this session?
- Describe this graph
- What columns do the nodes have?
- How many nodes and edges are there?
- Show me a few sample rows
Find, filter, and count
Show, list, or count nodes and edges matching a description — including multi-hop traversals. Results that come back as tables are shown inline in the chat as a collapsible table you can scroll.
- Show me all Author nodes
- List nodes where status is active
- How many nodes have degree greater than 10?
- Top 10 accounts by pagerank
- Which workflow_family spans the most business_units?
- Show the full lineage of dashboard_00490 (multi-hop traversal)
- Find everything connected to account C17693 within two hops
Color and highlight
Paint a subset a color to make it stand out. Each coloring becomes a collection you can manage afterward. You can give an exact color (hex) or a named palette.
- Color all Author nodes red
- Highlight fraud accounts in #00FFFF
- Highlight the PII-flagged assets using the Blues palette
- Color nodes where amount is between 1000 and 5000 orange
- Color the edges between C17693 and its neighbors green
Centrality — no algorithm name needed
You don't have to know graph theory. Describe the idea and Talk2Graph picks the right measure and colors the top nodes for it:
| If you say… | …it uses |
| central, influential, important, key, hub | PageRank (colors the top ~20% most central) |
| bridge, broker, connector, chokepoint | Betweenness |
| prestige, authority, most referenced, cited | Authority score |
- Highlight the most influential accounts
- Color the bridge nodes purple
- Show the most authoritative pages
Detect communities
Run community detection and get a plain summary of each cluster — its size and, importantly, what makes it distinct (the attributes that are over-represented in it). This produces a text summary; it does not color the graph on its own, but you can follow up and ask to color a specific community.
- Summarize the top communities
- What clusters exist in this graph?
- Show me the 3 biggest communities and what distinguishes them
- Break the clusters down by sentiment
- Now color community 1 (follow-up after a summary)
Manage what's on screen
Adjust or clean up the colorings you've created.
- What collections are on the graph right now?
- Bring the bridge-accounts collection to the front
- Rename that collection to "Key Influencers" and make it blue
- Remove the pagerank collection
- Reset the colors / Clear all collections
Refining a result
Conversation is stateful — you can build on the previous answer. If a coloring or filter isn't quite right, just describe the change:
- Same thing, but only where amount > 1000
- Make that a darker blue
- Now also include the edges