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docs: update Memgraph docs (#20736)
- **Description:** Memgraph Platform is being run differently now so I updated this (I am DX engineer from Memgraph).
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@ -19,26 +19,22 @@
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"\n",
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"To complete this tutorial, you will need [Docker](https://www.docker.com/get-started/) and [Python 3.x](https://www.python.org/) installed.\n",
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"\n",
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"Ensure you have a running `Memgraph` instance. You can download and run it in a local Docker container by executing the following script:\n",
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"Ensure you have a running Memgraph instance. To quickly run Memgraph Platform (Memgraph database + MAGE library + Memgraph Lab) for the first time, do the following:\n",
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"\n",
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"On Linux/MacOS:\n",
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"```\n",
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"docker run \\\n",
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" -it \\\n",
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" -p 7687:7687 \\\n",
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" -p 7444:7444 \\\n",
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" -p 3000:3000 \\\n",
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" -e MEMGRAPH=\"--bolt-server-name-for-init=Neo4j/\" \\\n",
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" -v mg_lib:/var/lib/memgraph memgraph/memgraph-platform\n",
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"curl https://install.memgraph.com | sh\n",
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"```\n",
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"\n",
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"You will need to wait a few seconds for the database to start. If the process is completed successfully, you should see something like this:\n",
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"On Windows:\n",
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"```\n",
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"mgconsole X.X\n",
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"Connected to 'memgraph://127.0.0.1:7687'\n",
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"Type :help for shell usage\n",
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"Quit the shell by typing Ctrl-D(eof) or :quit\n",
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"memgraph>\n",
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"iwr https://windows.memgraph.com | iex\n",
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"```\n",
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"\n",
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"Both commands run a script that downloads a Docker Compose file to your system, builds and starts `memgraph-mage` and `memgraph-lab` Docker services in two separate containers. \n",
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"\n",
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"Read more about the installation process on [Memgraph documentation](https://memgraph.com/docs/getting-started/install-memgraph).\n",
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"\n",
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"Now you can start playing with `Memgraph`!"
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]
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},
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@ -89,7 +85,7 @@
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"id": "95ba37a4",
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"metadata": {},
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"source": [
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"We're utilizing the Python library [GQLAlchemy](https://github.com/memgraph/gqlalchemy) to establish a connection between our Memgraph database and Python script. To execute queries, we can set up a Memgraph instance as follows:"
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"We're utilizing the Python library [GQLAlchemy](https://github.com/memgraph/gqlalchemy) to establish a connection between our Memgraph database and Python script. You can establish the connection to a running Memgraph instance with the Neo4j driver as well, since it's compatible with Memgraph. To execute queries with GQLAlchemy, we can set up a Memgraph instance as follows:"
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]
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},
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{
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