Hands-on Blueprint: Building an End-to-End C2G Pipeline with Neo4j and LangChain

To deploy an operational Content-to-Graph engine, developers combine structural chunkers, entity extractors, and graph databases. Below is the reference architecture used in enterprise production:

Document -> Markdown AST Chunking -> Entity & Relation Extraction -> Resolution -> Neo4j MERGE

Key Cypher Ingestion Pattern

Avoid duplicate entities by using strict idempotent MERGE patterns with normalized slugs:

MERGE (s:Entity {id: toLower($subject)})
MERGE (o:Entity {id: toLower($object)})
MERGE (s)-[r:RELATION {type: $relation}]->(o)
ON CREATE SET r.created_at = datetime()