# Cypher Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/cypher
> Markdown URL: https://aitinkerers.org/technologies/cypher.md
> Technology record last updated: 2026-03-02T03:55:58Z
> Generated: 2026-09-22T10:41:30Z

Cypher is the declarative, pattern-matching query language for property graph databases: SQL for your connected data.

Cypher is the most widely adopted query language for property graphs, initially developed by Neo4j and now an open specification via the openCypher project. It uses intuitive, ASCII-Art syntax—like `(n:Person)-[:KNOWS]->(m:Person)`—to visually express complex graph patterns. This declarative approach allows developers to efficiently retrieve, insert, and update data by focusing on *what* to find, not *how* to traverse, making it highly accessible for graph database operations.

- Official technology site: https://opencypher.org
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Graph-Enhanced XGBoost: Beating Fraud Detection Baselines with Neo4j](https://saopaulo.aitinkerers.org/talks/rsvp_jIeBaJ1l7t8)

A graph-based financial fraud detection system built on Neo4j, using the IEEE-CIS dataset to model transactions, cards, devices, emails, and addresses as a connected network — and combining graph features with XGBoost to significantly outperform traditional tabular models.

- Event context: AI Tinkerers SP e Banco BMG — 2026-03-26 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_jIeBaJ1l7t8

### [Have questions about your building? Why not ask it directly in your language!](https://paris.aitinkerers.org/talks/rsvp_MZOL3K2NedI)

1. Core Problem - France PLU/PLUi Urban Regulation = huge, fragmented, constantly updated PDFs + annexes. - Hard to search, slow to analyze, high risk of late non-compliance. 2. Data Pipeline - Automated PDF - Normalizes zoning rules into a clean structure. - Everything stored in a Neo4j graph (zones, parcels, articles, files, images). 3. Knowledge Graph - Use LLM to generate Cypher-based retrieval used for Neo4j. - Full-text + vector search for hybrid rule lookup. - Each rule answer linked to exact source documents. 4. Multi-Agent System (OpenAI + LangGraph) Agents: - Regulation Agent (rules + citations) - Surveyor Agent (parcel + context) - Model Agent (auto model generation) - BIM Agent (FAR, height, envelope) - Supervisor (orchestration + verification) Workflow triggered by one address + one question. 5. 3D & Calculations - Automatic parcel + building context reconstruction. Outputs: 3D model, rendered images, feasibility metrics. 6. User Interaction - Chat interface powered by GPT.

- Event context: Turn Your Knowledge into an API for LLMs - Meetup — 2025-12-09 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_MZOL3K2NedI

### [Neo4j + Python para análise de redes de colaboração científica](https://saopaulo.aitinkerers.org/talks/rsvp_vsdk71Al65k)

Nesta demo, Pedro Sader Azevedo apresentará como utilizou o Neo4j para transformar dados de coautoria científica em um grafo de colaboração acadêmica, revelando as comunidades ocultas que moldam as redes de pesquisa. Serão abordados os fundamentos da modelagem de dados em grafos, bem como as melhores ferramentas para ciência de dados neste contexto. Além disso, você descobrirá padrões inesperados na vida acadêmica, que revelam o que (ou quem) pode impulsionam seu reconhecimento no mundo da ciência.

- Event context: Ai Tinkerers São Paulo na ESPM com Neo4j e Oracle - Novembro 2025 — 2025-11-27 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_vsdk71Al65k

## Related Technologies

- [Neo4j](https://aitinkerers.org/technologies/neo4j) ([Markdown](https://aitinkerers.org/technologies/neo4j.md)) — 29 public demos
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
- [BIM](https://aitinkerers.org/technologies/bim) ([Markdown](https://aitinkerers.org/technologies/bim.md)) — 1 public demo
- [LangGraph](https://aitinkerers.org/technologies/langgraph) ([Markdown](https://aitinkerers.org/technologies/langgraph.md)) — 67 public demos
- [Neo4j Graph Data Science (GDS)](https://aitinkerers.org/technologies/neo4j-graph-data-science-gds) ([Markdown](https://aitinkerers.org/technologies/neo4j-graph-data-science-gds.md)) — 1 public demo
- [OpenAI](https://aitinkerers.org/technologies/openai) ([Markdown](https://aitinkerers.org/technologies/openai.md)) — 112 public demos
- [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 106 public demos
- [SQL](https://aitinkerers.org/technologies/sql) ([Markdown](https://aitinkerers.org/technologies/sql.md)) — 17 public demos
- [XGBoost](https://aitinkerers.org/technologies/xgboost) ([Markdown](https://aitinkerers.org/technologies/xgboost.md)) — 4 public demos