docs(examples): worked graph-exploration walkthrough (Cypher -> GDS -> embeddings)#73
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…DS -> embeddings) A worked, end-to-end example of using context-intelligence as an analytics substrate over Amplifier session history: starting from a plain-language question and escalating through Cypher graph queries -> Neo4j GDS (project.cypher, knn, louvain, pageRank) -> OpenAI embeddings for semantic intent clustering. Includes five rendered diagrams (method escalation, agent co-occurrence communities, delegation star, GDS session-clustering transformation, and the machinery-vs-mission discovery). Pairs with the context-intelligence-gds skill (the reusable procedure) and the existing context-intelligence-exploration-guide (the how-to). Corpus: team-shared ~2,065 sessions + private ~3,375 sessions / 56,653 tool calls; 3,199 first-prompts embedded. 🤖 Generated with [Amplifier](https://github.com/microsoft/amplifier) Co-Authored-By: Amplifier <240397093+microsoft-amplifier@users.noreply.github.com>
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Summary
A worked, end-to-end example of using context-intelligence as an analytics substrate over Amplifier session history. Demonstrates the full escalation path: from a plain-language question through Cypher graph queries → Neo4j GDS (project.cypher, knn, louvain, pageRank) → OpenAI embeddings for semantic intent clustering.
What's Included
Corpus Scale
Note for Reviewers
This example contains real mined session content (workspace names and short prompt excerpts from a single-user corpus). Please review and flag if any anonymization is needed before merge.
Related Work
Pairs with the skill (newly landed on main — the reusable procedure) and the existing (the how-to reference).
Docs only. No code changes; conform validation unaffected.