R&D prototypeDeepLearning.AI × Neo4j
Knowledge Graph Creator
Multi-agent knowledge extraction: schema proposal, relation validation and Neo4j graph construction.
Let agents propose the schema; let validation decide what enters the graph.
01Context
Certification project with DeepLearning.AI and Neo4j.
02Problem
Build a graph from unstructured text without hand-writing the schema.
03Constraints
- Relations must be validated before insertion
04My role
What I personally built
- Implementation following the Neo4j agentic KG course
What others owned
Independent project — no team. Everything here is mine.
05Architecture
Architecture explorer
The business flow — what happens, in plain words.
01 / 04
Text — Unstructured documents.
06System
Extraction → schema proposal → relation validation → Neo4j construction.
07Challenges
- Entity deduplication
08Outcome
Certified: Agentic Knowledge Graph Construction.
09What I learned
Schema-first thinking still matters when agents write the schema.
10Stack
- Python
- Neo4j
- Cypher
- LLM agents
11Evidence
- Neo4j — Agentic Knowledge Graph Construction