Tool Stack
Knowledge Graph Stack
Relationship layer that maps concepts, workflows, prompts, tools, and cases.
Purpose
Make knowledge navigable, connected, and reusable across AI systems.
Tools Included
- Typed content registry
- Graph database or relational edges
- Semantic search
- Internal link resolver
- Content governance
Workflow Supported
Alternatives
- Vector-only retrieval for simpler systems
- Manual wiki links for early prototypes
Use Cases
↳ connected nodes
Workflow↳ linked
RAG Content Ingestion Pipeline
Convert messy docs into searchable, cited knowledge chunks for AI systems.
Workflow↳ linked
Customer Feedback Intelligence System
Turn support tickets, calls, reviews, and surveys into product signals.
Workflow↳ linked
Prompt Library Operations
Version, evaluate, and reuse prompts as operational assets rather than loose text snippets.
Workflow↳ linked
AI Meeting Intelligence Workflow
Convert meetings into decisions, tasks, risks, and follow-up briefs automatically.
Use Case↳ linked
Support Team Replaces Wiki Sprawl With a Knowledge Graph
A support org connected policies, playbooks, tickets, and RAG answers into one system.
Use Case↳ linked
Product Team Finds Churn Signals Hidden in Feedback
A B2B SaaS surfaced repeated onboarding complaints before they appeared in churn reports.
Dictionary↳ linked
Structured Output
Forcing AI responses into predictable schemas that software can use.
Dictionary↳ linked
Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
Dictionary↳ linked
Semantic Search
Finding information by meaning rather than exact keyword match.
Comparison↳ linked
Vector Database vs Knowledge Graph
Similarity retrieval versus explicit relationship mapping.
Prompt↳ linked
Meeting Intelligence Extraction Prompt
Extract decisions, commitments, risks, and follow-ups from transcripts.
Use Case↳ linked
Leadership Team Turns Meetings Into Decision Logs
Executives stopped losing decisions inside long transcripts and scattered notes.
Dictionary↳ linked
Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
Dictionary↳ linked
Embedding
A numerical vector representation of text, image or audio that captures meaning for similarity search.
Dictionary↳ linked
Knowledge Graph
A network of entities and the relationships between them, queryable like a map.