Update links

README.md

@@ -62,7 +62,7 @@ poetry install -E arrow # Support for the CSV, Parquet, ORC and IPC/Feather/Arro
 poetry install -E dgl # DGL support (also includes torch)
 ```
 
-To run the tests, make sure you have an [active Memgraph instance](/memgraph), and execute one of the following commands:
+To run the tests, make sure you have an [active Memgraph instance](https://memgraph.com/docs/getting-started), and execute one of the following commands:
 
 ```bash
 poetry run pytest . -k "not slow" # If all extras installed

docs/changelog.md

@@ -14,8 +14,8 @@
 
 ### Features and improvements
 
-- Data from Memgraph can now be [imported from](/reference/transformations/importing/graph_importer.md) and [exported to](/reference/transformations/export/graph_transporter.md) `NetworkX`, `DGL` and `PyG` graph formats. [#215](https://github.com/memgraph/gqlalchemy/pull/215)
-- Now you can execute procedures from query modules on a subgraph [using the project feature](/how-to-guides/query-builder/graph-projection.md). [#210](https://github.com/memgraph/gqlalchemy/pull/210)
+- Data from Memgraph can now be [imported from](reference/gqlalchemy/transformations/importing/graph_importer.md) and [exported to](reference/gqlalchemy/transformations/export/graph_transporter.md) `NetworkX`, `DGL` and `PyG` graph formats. [#215](https://github.com/memgraph/gqlalchemy/pull/215)
+- Now you can execute procedures from query modules on a subgraph [using the project feature](how-to-guides/query-builder/graph-projection.md). [#210](https://github.com/memgraph/gqlalchemy/pull/210)
 - Now you can pass values from Python variables as parameters in Cypher queries. [#217](https://github.com/memgraph/gqlalchemy/pull/217)
 - Besides BSF, DSF and WSHORTEST, now you can also run the All shortest paths algorithm with GQLAlchemy. [#200](https://github.com/memgraph/gqlalchemy/pull/200)
 

docs/getting-started.md

@@ -10,19 +10,19 @@ An Object Graph Mapper or OGM provides a developer-friendly workflow for writing
 
 ### 1. Install GQLAlchemy
 
-Either install GQLAlchemy through [pip](/installation.md#pip) or [build it from
-source](/installation.md#source). If you are using [Conda](https://docs.conda.io/en/latest/) for Python environment management, you can install GQLAlchemy through [pip](/installation.md#pip).
+Either install GQLAlchemy through [pip](installation.md#pip) or [build it from
+source](installation.md#source). If you are using [Conda](https://docs.conda.io/en/latest/) for Python environment management, you can install GQLAlchemy through [pip](installation.md#pip).
 
 !!! danger 
     GQLAlchemy can't be installed with Python 3.11 [(#203)](https://github.com/memgraph/gqlalchemy/issues/203) and on Windows with Python > 3.9 [(#179)](https://github.com/memgraph/gqlalchemy/issues/179). If this is currently a blocker for you, please let us know by commenting on opened issues.
 
 ### 2. Connect to Memgraph
 
-Check the [Python quick start guide](/memgraph/connect-to-memgraph/drivers/python) to learn how to connect to Memgraph using GQLAlchemy.
+Check the [Python quick start guide](https://memgraph.com/docs) to learn how to connect to Memgraph using GQLAlchemy.
 
 ### 3. Learn how to use GQLAlchemy
 
-With the help of the [How-to guides](/how-to-guides/overview.md) you can learn how to use GQLAlchemy's features, such as object graph mapper and query builder. 
+With the help of the [How-to guides](how-to-guides/overview.md) you can learn how to use GQLAlchemy's features, such as object graph mapper and query builder. 
 
 ### 3. Check the reference guide
 

docs/how-to-guides/loaders/import-table-data-to-graph-database.md

@@ -5,7 +5,7 @@ file to graph data and import it to **Memgraph**. Currently, we support reading
 of CSV, Parquet, ORC and IPC/Feather/Arrow file formats via the **PyArrow** package.
 
 > Make sure you have a running Memgraph instance. If you're not sure how to run
-> Memgraph, check out the Memgraph [Quick start](/memgraph/#quick-start).
+> Memgraph, check out the Memgraph [Quick start](https://memgraph.com/docs/getting-started).
 
 The `loaders.py` module implements loading data from the local file system, as
 well as Azure Blob and Amazon S3 remote file systems. Depending on where your

docs/how-to-guides/ogm.md

@@ -21,7 +21,7 @@ Through this guide, you will learn how to use GQLAlchemy object graph mapper to:
 >have any more questions, join our community and ping us on [Discord](https://discord.gg/memgraph).
 
 !!! info 
-    To test the above features, you must [install GQLAlchemy](/gqlalchemy/installation) and have a running Memgraph instance. If you're unsure how to run Memgraph, check out the Memgraph [Quick start](/memgraph/#quick-start).
+    To test the above features, you must [install GQLAlchemy](/gqlalchemy/installation) and have a running Memgraph instance. If you're unsure how to run Memgraph, check out the Memgraph [Quick start](https://memgraph.com/docs/getting-started)).
 
 ## Map nodes and relationships
 

docs/how-to-guides/query-builder.md

@@ -38,7 +38,7 @@ Through this guide, you will learn how to use GQLAlchemy query builder to:
 >have any more questions, join our community and ping us on [Discord](https://discord.gg/memgraph).
 
 !!! info 
-    To test the above features, you must install [GQLAlchemy](/gqlalchemy/installation) and have a running Memgraph instance. If you're unsure how to run Memgraph, check out the Memgraph [Quick start](/memgraph/#quick-start).
+    To test the above features, you must install [GQLAlchemy](/gqlalchemy/installation) and have a running Memgraph instance. If you're unsure how to run Memgraph, check out the Memgraph [Quick start](https://memgraph.com/docs/getting-started)).
 
 
 ## Create nodes and relationships

docs/installation.md

@@ -59,7 +59,7 @@ poetry install -E dgl # DGL support (also includes torch)
 
 ```
 
-To run the tests, make sure you have an [active Memgraph instance](/memgraph), and execute one of the following commands:
+To run the tests, make sure you have an [active Memgraph instance](https://memgraph.com/docs/getting-started/install-memgraph), and execute one of the following commands:
 
 ```bash
 poetry run pytest . -k "not slow" # If all extras installed