Adds experimental support for Apache TinkerPop Gremlin as an alternative
query language for AWS Neptune Database, alongside the existing openCypher
support. This enables users to choose their preferred query language and
opens the door for future support of other Gremlin-compatible databases.
- QueryLanguage enum (CYPHER, GREMLIN) for explicit language selection
- Dual-mode NeptuneDriver supporting both Cypher and Gremlin
- Gremlin query generation functions for common graph operations
- Graceful degradation when gremlinpython is not installed
- 100% backward compatible (defaults to CYPHER)
- graphiti_core/driver/driver.py: Added QueryLanguage enum
- graphiti_core/driver/neptune_driver.py: Dual client initialization
and query routing based on language selection
- graphiti_core/graph_queries.py: 9 new Gremlin query generation functions
- graphiti_core/utils/maintenance/graph_data_operations.py: Updated
clear_data() to support both query languages
- tests/test_neptune_gremlin_int.py: Comprehensive integration tests
- examples/quickstart/quickstart_neptune_gremlin.py: Usage example
- examples/quickstart/README.md: Updated with Gremlin instructions
- GREMLIN_FEATURE.md: Complete feature documentation
- pyproject.toml: Added gremlinpython>=3.7.0 to neptune extras
```python
from graphiti_core.driver.driver import QueryLanguage
from graphiti_core.driver.neptune_driver import NeptuneDriver
driver = NeptuneDriver(
host='neptune-db://cluster.amazonaws.com',
aoss_host='aoss-cluster.amazonaws.com',
query_language=QueryLanguage.GREMLIN
)
```
- Only Neptune Database supports Gremlin (not Neptune Analytics)
- Fulltext and vector search still use OpenSearch (AOSS) integration
- Complete search_utils.py Gremlin implementation pending (future work)
- ✅ All existing unit tests pass (103/103)
- ✅ New integration tests for Gremlin operations
- ✅ Type checking passes
- ✅ Linting passes
None. Fully backward compatible.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
120 lines
4.2 KiB
Python
120 lines
4.2 KiB
Python
"""
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Quickstart example for Graphiti with Neptune Database using Gremlin query language.
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This example demonstrates how to use Graphiti with AWS Neptune Database using
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the Gremlin query language instead of openCypher.
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Prerequisites:
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1. AWS Neptune Database cluster (not Neptune Analytics - Gremlin is not supported)
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2. AWS OpenSearch Service cluster for fulltext search
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3. Environment variables:
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- OPENAI_API_KEY: Your OpenAI API key
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- NEPTUNE_HOST: Neptune Database endpoint (e.g., neptune-db://your-cluster.cluster-xxx.us-east-1.neptune.amazonaws.com)
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- NEPTUNE_AOSS_HOST: OpenSearch endpoint
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4. AWS credentials configured (via ~/.aws/credentials or environment variables)
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Note: Gremlin support in Graphiti is experimental and currently focuses on
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basic graph operations. Some advanced features may still use OpenSearch for
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fulltext and vector similarity searches.
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"""
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import asyncio
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import logging
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from datetime import datetime
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from graphiti_core import Graphiti
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from graphiti_core.driver.driver import QueryLanguage
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from graphiti_core.driver.neptune_driver import NeptuneDriver
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from graphiti_core.edges import EntityEdge
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from graphiti_core.llm_client import OpenAIClient
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from graphiti_core.nodes import EpisodeType
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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async def main():
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"""
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Main function demonstrating Graphiti with Neptune Gremlin.
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"""
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# Initialize Neptune driver with Gremlin query language
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# Note: Only Neptune Database supports Gremlin (not Neptune Analytics)
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driver = NeptuneDriver(
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host='neptune-db://your-cluster.cluster-xxx.us-east-1.neptune.amazonaws.com',
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aoss_host='your-aoss-cluster.us-east-1.aoss.amazonaws.com',
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port=8182,
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query_language=QueryLanguage.GREMLIN, # Use Gremlin instead of Cypher
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)
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# Initialize LLM client
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llm_client = OpenAIClient()
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# Initialize Graphiti
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graphiti = Graphiti(driver, llm_client)
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logger.info('Initializing graph indices...')
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await graphiti.build_indices_and_constraints()
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# Add some episodes
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episodes = [
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'Kamala Harris is the Attorney General of California. She was previously '
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'the district attorney for San Francisco.',
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'As AG, Harris was in office from January 3, 2011 – January 3, 2017',
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]
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logger.info('Adding episodes to the knowledge graph...')
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for episode in episodes:
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await graphiti.add_episode(
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name='Kamala Harris Career',
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episode_body=episode,
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source_description='Wikipedia article on Kamala Harris',
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reference_time=datetime.now(),
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source=EpisodeType.text,
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)
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# Search the graph
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logger.info('\\nSearching for information about Kamala Harris...')
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results = await graphiti.search('What positions has Kamala Harris held?')
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logger.info('\\nSearch Results:')
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logger.info(f'Nodes: {len(results.nodes)}')
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for node in results.nodes:
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logger.info(f' - {node.name}: {node.summary}')
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logger.info(f'\\nEdges: {len(results.edges)}')
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for edge in results.edges:
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logger.info(f' - {edge.name}: {edge.fact}')
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# Note: With Gremlin, the underlying queries use Gremlin traversal syntax
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# instead of Cypher, but the high-level Graphiti API remains the same.
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# The driver automatically handles query translation based on query_language setting.
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logger.info('\\nClosing driver...')
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await driver.close()
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logger.info('Done!')
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if __name__ == '__main__':
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"""
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Example output:
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INFO:__main__:Initializing graph indices...
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INFO:__main__:Adding episodes to the knowledge graph...
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INFO:__main__:
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Searching for information about Kamala Harris...
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INFO:__main__:
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Search Results:
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INFO:__main__:Nodes: 3
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INFO:__main__: - Kamala Harris: Former Attorney General of California
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INFO:__main__: - California: US State
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INFO:__main__: - San Francisco: City in California
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INFO:__main__:
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Edges: 2
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INFO:__main__: - held_position: Kamala Harris was Attorney General of California
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INFO:__main__: - previously_served_as: Kamala Harris was district attorney for San Francisco
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INFO:__main__:
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Closing driver...
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INFO:__main__:Done!
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"""
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asyncio.run(main())
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