create-context-graph
AI agents with graph based reasoning memory, scaffolded in seconds
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- conservation.json
- cybersecurity.json
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- digital-twin.json
- education.json
- financial-services.json
- gaming.json
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- gis-cartography.json
- golf-sports.json
- government.json
- healthcare.json
- hospitality.json
- legal.json
- manufacturing.json
- oil-gas.json
- options-intelligence.json
- personal-knowledge.json
- product-management.json
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- google_workspace_connector.py.j2
- import_data.py.j2
- jira_connector.py.j2
- linear_connector.py.j2
- local_file_connector.py.j2
- notion_connector.py.j2
- salesforce_connector.py.j2
- slack_connector.py.j2
- agent_stub.py.j2
- config.py.j2
- constants.py.j2
- context_graph_client.py.j2
- gds_client.py.j2
- generate_data.py.j2
- main.py.j2
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- models.py.j2
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- conftest.py
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# Installation Guide
1. Get the code
git clone https://github.com/neo4j-labs/create-context-graph
Downloads the entire project code from GitHub to your computer.
cd create-context-graph
Moves into the project folder you just downloaded.
2. Node.js
Easy RecommendedPrerequisites
cd npm-wrapper
This project's files live in a subfolder, so move into it first.
npm install
Downloads and installs the libraries listed in package.json.
npm start
Starts the development/run server.
After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.
3. Python
EasyPrerequisites
uv venv && uv pip install -e ".[dev]"
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
4. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
make install && make start
Compiles the code based on the generated build configuration to produce an executable.
make install
Compiles the code based on the generated build configuration to produce an executable.
make start
Compiles the code based on the generated build configuration to produce an executable.
make docker-up # or: make neo4j-start (for neo4j-local)
Compiles the code based on the generated build configuration to produce an executable.
make seed
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
Pulled directly from this repo's README.
// repository documentation
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