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docs: add navigation back-links to all leaf pages (#1701)
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docs/guides/connecting-to-blazegraph.md

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# Connecting to BlazeGraph
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- Build and run the Docker container as normal and connect Graph Explorer to BlazeGraph through the proxy server.

docs/guides/connecting-to-gremlin-server.md

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# Connecting to Gremlin-Server
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If you are using the default Gremlin Server docker image, you can get the server running with the following commands:

docs/guides/connecting-to-neptune.md

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# Connecting to Neptune
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- Ensure that Graph Explorer has access to the Neptune instance by being in the same VPC or VPC peering.

docs/guides/deploy-to-ec2.md

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# Deploy to Amazon EC2
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Deploy Graph Explorer onto an Amazon EC2 instance and use it as a proxy server with SSH tunneling to connect to Amazon Neptune.

docs/guides/deploy-to-ecs-fargate.md

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# Running Graph Explorer on AWS Fargate + Amazon ECS
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The following steps will allow you set up Graph Explorer on AWS Fargate in Amazon ECS, and connect to a running Neptune database.

docs/guides/deploy-to-sagemaker.md

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# Launching Graph Explorer using Amazon SageMaker
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Graph Explorer can be hosted and launched on Amazon SageMaker Notebooks via a lifecycle configuration script. To learn more about lifecycle configurations and how to create one, see the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).

docs/guides/troubleshooting.md

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# Troubleshooting
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This page contains workarounds for common issues and information on how to diagnose other issues.

docs/references/default-connection.md

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# Providing a Default Connection
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To provide a default connection such that initial loads of Graph Explorer always result with the same starting connection, modify the `docker run ...` command to either take in a JSON configuration or runtime environment variables. If you provide both a JSON configuration and environmental variables, the JSON will be prioritized.

docs/references/health-check.md

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# Health Check Status
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The `graph-explorer-proxy-server` provides a `/status` endpoint for monitoring its health and readiness. This endpoint is crucial for ensuring reliable service operation and can be utilized in various deployment scenarios.

docs/references/logging.md

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# Logging
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Logs are, by default, sent to the console and will be visible as output to the docker logs. If you want to access the full set of logs, you can run `docker logs {container name or id}`.

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