Neo4j

Neo4j is a leading graph database platform that enables organizations to build intelligent applications that extract business value from connections in their data. Langtrace’s Neo4j integration lets you monitor and trace all your Neo4j database operations, including cypher queries, transaction processing, and GraphRAG operations.

Setup

Install the Langtrace’s SDK and initialize the SDK in your code.

pip install langtrace-python-sdk

Install the Neo4j python driver.

pip install neo4j

Setup environment variables:

export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY

Usage

Initialize Langtrace before creating your Phidata agent:

Python

from langtrace_python_sdk import langtrace  # Must precede other imports
from langtrace_python_sdk.utils.with_root_span import with_langtrace_root_span

from neo4j import GraphDatabase

# Create a driver instance
driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD))

# Execute a query
records, summary, keys = driver.execute_query(
    "MATCH (p:Person {age: $age}) RETURN p.name AS name",
    age=42,
    database_="neo4j",
)

# Access results
for person in records:
    print(person["name"])

# Print summary information
print("The query returned {} records in {} ms.".format(
    len(records), summary.result_available_after
))

# Don't forget to close the driver
driver.close()

What’s being traced?

With Langtrace, the following operations are automatically traced: Query Execution

Query text and parameters
Execution time and timestamps
Query result, counts and metadata
Database and routing information

View all these trace details in the Langtrace dashboard:

Getting Started

Tracing

Prompting

Evaluations & Testing

Supported Integrations

API Reference

Hosting

Contact Us

Setup

Usage

What’s being traced?

Resources

​Setup

​Usage

​What’s being traced?

​Resources

Setup

Usage

What’s being traced?

Resources