---
title: "Export Module"
description: "Export knowledge graphs to RDF, Parquet, LPG, ArangoDB AQL, CSV, GraphML, OWL, JSON-LD, and vector formats."
icon: "file-export"
---
> Export knowledge graphs and embeddings to 12+ formats with W3C-compliant serialization.
---
## Overview
The **Export Module** serializes knowledge graphs to every downstream format — semantic web standards, analytics pipelines, graph databases, and vector stores.
Turtle, JSON-LD, N-Triples, RDF/XML with namespace management.
Columnar storage for Spark, BigQuery, Databricks, Snowflake.
Labeled Property Graph — Cypher CREATE statements for Neo4j and Memgraph.
ArangoDB AQL INSERT statements for multi-model graph databases.
GraphML, GEXF, DOT formats for visualization tools like Gephi.
OWL 2.0 ontology export in Turtle, XML, and JSON-LD.
---
## RDFExporter
```python
from semantica.export import RDFExporter
exporter = RDFExporter()
# Turtle
rdf = exporter.export_to_rdf(graph, format="turtle")
exporter.export_to_file(graph, "output.ttl", format="turtle")
# JSON-LD
exporter.export_to_file(graph, "output.jsonld", format="json-ld")
# N-Triples
exporter.export_to_file(graph, "output.nt", format="nt")
# RDF/XML
exporter.export_to_file(graph, "output.xml", format="xml")
```
Namespace management:
```python
from semantica.export import NamespaceManager, RDFSerializer
ns_manager = NamespaceManager()
ns_manager.register("ex", "http://example.org/")
ns_manager.register("schema", "https://schema.org/")
exporter = RDFExporter(namespace_manager=ns_manager)
```
---
## ParquetExporter
For Spark, BigQuery, Databricks, and Snowflake analytics pipelines:
```python
from semantica.export import ParquetExporter
exporter = ParquetExporter(compression="snappy") # snappy | gzip | brotli | zstd | lz4
# Export nodes and edges separately
exporter.export_nodes(graph, "nodes.parquet")
exporter.export_edges(graph, "edges.parquet")
# Export full graph (partitioned)
exporter.export(graph, output_dir="graph_parquet/", partition_by="node_type")
```
Parquet schema is explicitly typed with PyArrow for clean Spark/BigQuery ingestion.
---
## LPGExporter
Labeled Property Graph — Cypher CREATE statements for Neo4j and Memgraph:
```python
from semantica.export import LPGExporter
exporter = LPGExporter()
# Generate Cypher
cypher = exporter.to_cypher(graph)
exporter.export(graph, "import.cypher", format="cypher")
# Generate MERGE statements (idempotent)
cypher_merge = exporter.to_cypher(graph, use_merge=True)
```
---
## ArangoAQLExporter
ArangoDB AQL INSERT statements for vertex and edge collections:
```python
from semantica.export import ArangoAQLExporter
exporter = ArangoAQLExporter(
vertex_collection="entities",
edge_collection="relationships"
)
aql = exporter.export(graph) # returns AQL string
exporter.export_to_file(graph, "import.aql")
```
---
## GraphExporter
GraphML, GEXF, and DOT formats for visualization tools:
```python
from semantica.export import GraphExporter
exporter = GraphExporter()
exporter.export(graph, "graph.graphml", format="graphml") # Gephi, yEd
exporter.export(graph, "graph.gexf", format="gexf") # Gephi streaming
exporter.export(graph, "graph.dot", format="dot") # Graphviz
```
---
## OWLExporter
OWL 2.0 ontology export:
```python
from semantica.export import OWLExporter
exporter = OWLExporter()
exporter.export(ontology, path="ontology.ttl", format="turtle")
exporter.export(ontology, path="ontology.owl", format="xml")
exporter.export(ontology, path="ontology.json", format="json-ld")
```
---
## CSVExporter
```python
from semantica.export import CSVExporter
exporter = CSVExporter(delimiter=",")
exporter.export_nodes(graph, "nodes.csv")
exporter.export_edges(graph, "edges.csv")
```
---
## VectorExporter
Export embedding vectors for external vector stores:
```python
from semantica.export import VectorExporter
exporter = VectorExporter()
exporter.export(embeddings, metadata, "vectors.json", format="json")
exporter.export(embeddings, metadata, "vectors.npy", format="numpy")
# FAISS-compatible binary format
exporter.export(embeddings, metadata, "vectors.faiss", format="faiss")
```
---
## ArrowExporter
Apache Arrow IPC format for zero-copy inter-process transfer:
```python
from semantica.export import ArrowExporter
exporter = ArrowExporter()
exporter.export(graph, "graph.arrow")
```
Requires `pyarrow`. Falls back gracefully if not installed.
---
## DistanceExporter
Export semantic distance matrices from Distance Intelligence:
```python
from semantica.export import DistanceExporter
exporter = DistanceExporter()
exporter.export_matrix(distance_matrix, node_labels, "distances.csv")
exporter.export_ego(ego_neighborhood, center_node="Apple Inc.", path="ego.json")
```
---
## ReportGenerator
Generate human-readable reports from graph analytics:
```python
from semantica.export import ReportGenerator
generator = ReportGenerator()
# HTML report
generator.generate(graph, analytics_result, "report.html", format="html")
# Markdown
generator.generate(graph, analytics_result, "report.md", format="markdown")
# JSON
generator.generate(graph, analytics_result, "report.json", format="json")
```
---
## Convenience Functions
```python
from semantica.export import (
export_rdf, export_parquet, export_csv, export_lpg,
export_arango, export_graph, export_owl, export_vector,
export_arrow, generate_report
)
export_rdf(graph, "output.ttl", format="turtle")
export_parquet(graph, "output/", compression="snappy")
export_csv(graph, "nodes.csv", target="nodes")
export_lpg(graph, "import.cypher", method="cypher")
export_arango(graph, "import.aql")
export_graph(graph, "graph.graphml", format="graphml")
```
---
## Selective Export
```python
# Export a subgraph
subgraph = graph.subgraph(node_ids=["apple_inc", "steve_jobs"])
export_rdf(subgraph, "subgraph.ttl", format="turtle")
# Export nodes by type
org_nodes = graph.filter(node_type="Organization")
export_parquet(org_nodes, "organizations.parquet")
```
---
## See Also
Store RDF exports in a SPARQL-queryable backend.
Export OWL ontologies.
Include provenance in RDF exports.
Add export as a pipeline step.