Knowledge Graph
Every conversation adds to your organization’s intelligence. The Knowledge Graph automatically extracts entities, decisions, and relationships from your multi-AI sessions and stores them for instant retrieval.
Stop losing insights to chat history. When you mention a competitor, define a strategy, or make a decision, Suprmind remembers – and surfaces that knowledge when it matters.
Chat history is where insights go to die
You had a great conversation last month about your competitive landscape. Now you need that analysis for a board presentation. Good luck finding it.
Traditional AI chat is ephemeral. Every session starts from zero. The brilliant insight from Tuesday’s brainstorm? Gone by Friday. The competitor research you commissioned? Buried in a thread you can’t find.
Knowledge Graph changes the equation. Instead of searching through transcripts, you query relationships. Instead of re-explaining context, the AI already knows.
Automatic intelligence extraction
You don’t do anything. The Knowledge Graph builds itself as you talk.
1. Extraction
Real-time processing
As you converse, the system identifies entities: people, companies, products, technologies, concepts, and decisions. No tagging required.
2. Connection
Relationship mapping
Entities don’t exist in isolation. The graph maps how they relate: competitors, partners, team members, dependencies, influences, contradictions.
3. Enrichment
Continuous learning
Every conversation adds observations to existing entities. Your understanding of “Acme Corp” deepens over dozens of mentions across multiple sessions.
What extraction looks like
“We’re competing with Notion and Asana in the project management space. Our CTO, Sarah, thinks we should focus on the enterprise segment because SMB churn is killing us.”
The system automatically extracts:
Entities
- Notion – Company, competitor
- Asana – Company, competitor
- Sarah – Person, CTO role
- Enterprise segment – Concept, strategic focus
Relationships & Observations
- Notion competes with Your Company
- Asana competes with Your Company
- Sarah recommends enterprise focus
- SMB segment has problem: high churn
What the graph captures
| Type | Examples | What Gets Stored |
|---|---|---|
| Person | Team members, contacts, stakeholders | Role, opinions, decisions, relationships |
| Company | Competitors, partners, customers | Size, positioning, relationship type |
| Product | Your product, competitor products | Features, strengths, weaknesses |
| Technology | Tools, frameworks, platforms | Use cases, trade-offs, dependencies |
| Concept | Strategies, methodologies, frameworks | Definitions, applications, context |
| Decision | Choices made in conversations | Context, alternatives, rationale, date |
Context that compounds.
The more you use Suprmind, the smarter it gets about your work.
In month one, you’re explaining context. By month six, the AI knows your competitors, understands your strategy debates, remembers why you chose React over Vue, and recalls that Sarah prefers conservative estimates.
That’s not retrieval-augmented generation bolted onto chat. That’s organizational memory built into the foundation.
When Knowledge Graph shines
Competitive Intelligence
Every mention of a competitor builds their profile. Six months later, ask “What do we know about Acme Corp?” and get a synthesized view from dozens of conversations.
Decision Tracking
“Why did we decide to use PostgreSQL instead of MongoDB?” The graph recalls the debate, the alternatives considered, and the rationale – even if that conversation was three months ago.
Stakeholder Memory
Track who said what, who prefers what, who blocks what. Before a meeting with the CFO, surface every previous discussion involving finance considerations.
Strategy Continuity
Onboarding a new team member? They inherit the organization’s accumulated knowledge. No more “we discussed this six months ago but no one remembers the details.”
Project-scoped by default
Each project builds its own Knowledge Graph. Your “Product Launch” project doesn’t bleed into your “Investor Relations” project. Context stays where it belongs.
Master Projects change the equation when you need it. A Master Project can query across multiple project Knowledge Graphs, giving you cross-project intelligence without sacrificing isolation.
This is how Suprmind handles the tension between “keep things separate” and “connect the dots across everything.”
Vector embeddings + relationship storage
Entities are stored with vector embeddings (pgvector) for semantic search. This means you can ask “who on the team is skeptical about enterprise?” and find Sarah even if “skeptical” was never the exact word used.
Relationships are stored as directed edges with types: competes_with, reports_to, depends_on, contradicts. Query by relationship type, not just keyword.
Confidence scores track how certain the system is about each extraction. High-confidence entities from explicit statements rank higher than inferred relationships.
Frequently Asked
Do I need to tag or label anything?
No. Extraction is fully automatic. Just talk naturally. The system identifies entities and relationships from your conversation content.
Can I correct or edit the graph?
Not currently in the UI. If the system misunderstands something, clarify it in conversation: “Actually, Acme is a partner, not a competitor.” The system updates based on new information.
Is my Knowledge Graph shared with other users?
Project-level isolation. Your Knowledge Graph is yours. Team plans share project access; individuals on different plans cannot see each other’s graphs.
How much history does it store?
All of it. Knowledge Graph storage scales with your plan, but there’s no rolling window. Entities from your first conversation remain accessible.
Does it work with uploaded files?
Uploaded files use the Vector File Database for semantic search. Knowledge Graph focuses on conversation-derived intelligence. Both systems work together – file content can trigger entity extraction when discussed.
Build organizational memory from day one.
Every conversation makes the next one smarter. Start accumulating intelligence now.