# Graph database Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/graph-database
> Markdown URL: https://aitinkerers.org/technologies/graph-database.md
> Technology record last updated: 2026-03-07T14:41:53Z
> Generated: 2026-08-26T19:16:20Z

Graph databases are NoSQL systems that use nodes, edges, and properties to model and store data, prioritizing relationships for high-speed traversal and complex query performance.

This technology is a specialized database platform: it stores data not in rigid tables, but as a network of nodes (entities) and edges (relationships). This structure makes relationships first-class citizens, enabling ultra-fast queries that would require dozens of expensive JOIN operations in a relational system (SQL). For example, a graph database like Neo4j can traverse billions of connections in milliseconds. It’s the essential tool for use cases where connections matter most: social networks, real-time fraud detection, and complex recommendation engines. You're modeling the real world directly, not forcing it into a tabular schema.

- Official technology site: https://en.wikipedia.org/wiki/Graph_database
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Neo4j Live: Inside StrangerGraphs – Predicting Season 5 with Graph Intelligence](https://paris.aitinkerers.org/talks/rsvp_3nhfxvOKTRg)

Join us as we break down StrangerGraphs, a prediction graph built from Reddit fan theories, Neo4j AuraDB, GPT-5 analysis, and GraphRAG-powered agents to explore what the Stranger Things community got right in past seasons – and what they might reveal about Season 5. Key Highlights: – Reddit prediction mining + GPT-5 accuracy scoring – Leiden clustering to find high-signal predictor communities – Season 5 predictions extracted from accuracy-based hubs – AuraDB + GraphRAG powering character-aware AI agents

- Event context: Turn Your Knowledge into an API for LLMs - Meetup — 2025-12-09 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_3nhfxvOKTRg

### [Enhancing AI with RAG - Techniques to improve accuracy](https://bogota.aitinkerers.org/talks/rsvp_QjI40TNRTXw)

This talk explores how to optimize AI companions for project management using RAG. Standard RAG models struggle with context, leading to incomplete or inaccurate data retrieval, which is important when managing resources and making decisions. We’ll explore GraphRAG and context-aware RAG, which use knowledge graphs and enhanced contextual embeddings to improve the precision and relevance of information retrieval.

- Event context: AI Tinkerers Octubre en Colombia 4.0 — 2024-10-30 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_QjI40TNRTXw

## Related Technologies

- [GraphRAG](https://aitinkerers.org/technologies/graphrag) ([Markdown](https://aitinkerers.org/technologies/graphrag.md)) — 13 public demos
- [alBERT](https://aitinkerers.org/technologies/albert) ([Markdown](https://aitinkerers.org/technologies/albert.md)) — 4 public demos
- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [ELMo](https://aitinkerers.org/technologies/elmo) ([Markdown](https://aitinkerers.org/technologies/elmo.md)) — 1 public demo
- [GenAI](https://aitinkerers.org/technologies/genai) ([Markdown](https://aitinkerers.org/technologies/genai.md)) — 8 public demos
- [GPT-2](https://aitinkerers.org/technologies/gpt-2) ([Markdown](https://aitinkerers.org/technologies/gpt-2.md)) — 4 public demos
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [HopperGraph](https://aitinkerers.org/technologies/hoppergraph) ([Markdown](https://aitinkerers.org/technologies/hoppergraph.md)) — 1 public demo
- [Knowledge Graph](https://aitinkerers.org/technologies/knowledge-graph) ([Markdown](https://aitinkerers.org/technologies/knowledge-graph.md)) — 9 public demos
- [Neo4j](https://aitinkerers.org/technologies/neo4j) ([Markdown](https://aitinkerers.org/technologies/neo4j.md)) — 29 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
- [RoBERTa](https://aitinkerers.org/technologies/roberta) ([Markdown](https://aitinkerers.org/technologies/roberta.md)) — 118 public demos
- [T5](https://aitinkerers.org/technologies/t5) ([Markdown](https://aitinkerers.org/technologies/t5.md)) — 5 public demos
- [XLNet](https://aitinkerers.org/technologies/xlnet) ([Markdown](https://aitinkerers.org/technologies/xlnet.md)) — 3 public demos