Feat: update missing docs

docs/how-to-guides/manage-database.md

@@ -0,0 +1,110 @@
+# How to manage Memgraph database
+
+Through this guide, you will learn how to use GQLAlchemy to manage your Memgraph database instance:
+
+- [How to manage Memgraph database](#how-to-manage-memgraph-database)
+  - [Get storage information](#get-storage-information)
+  - [Get build information](#get-build-information)
+  - [Analyze graph statistics](#analyze-graph-statistics)
+    - [Analyze all labels](#analyze-all-labels)
+    - [Analyze specific labels](#analyze-specific-labels)
+    - [Delete graph statistics](#delete-graph-statistics)
+    - [Delete statistics for specific labels](#delete-statistics-for-specific-labels)
+
+>If you have any more questions, join our community and ping us on [Discord](https://discord.gg/memgraph).
+
+!!! info 
+    To use the features below, you must [install GQLAlchemy](../installation.md) 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)).
+
+## Get storage information
+
+To retrieve **detailed storage information** about your Memgraph instance, use the [`get_storage_info()`](../reference/gqlalchemy/vendors/memgraph.md#get_storage_info) method. It returns information such as vertex count, edge count, memory usage, and disk usage.
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+storage_info = db.get_storage_info()
+for item in storage_info:
+    print(item)
+```
+
+## Get build information
+
+To retrieve **build information** about the running Memgraph instance, use the [`get_build_info()`](../reference/gqlalchemy/vendors/memgraph.md#get_build_info) method. It returns information such as the build type (optimization level).
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+build_info = db.get_build_info()
+for item in build_info:
+    print(item)
+```
+
+## Analyze graph statistics
+
+Memgraph can analyze the graph to calculate statistics that help it select more optimal indexes and speed up `MERGE` operations. Use the [`analyze_graph()`](../reference/gqlalchemy/vendors/memgraph.md#analyze_graph) and [`delete_graph_statistics()`](../reference/gqlalchemy/vendors/memgraph.md#delete_graph_statistics) methods to manage these statistics.
+
+### Analyze all labels
+
+To **analyze statistics for all labels** in the graph:
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+results = db.analyze_graph()
+for result in results:
+    print(result)
+```
+
+The result includes information about each indexed label-property pair: label, property, number of estimation nodes, number of groups, average group size, chi-squared value, and average degree.
+
+### Analyze specific labels
+
+To **analyze statistics only for specific labels**:
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+results = db.analyze_graph(labels=["Person", "City"])
+for result in results:
+    print(result)
+```
+
+### Delete graph statistics
+
+To **delete all previously calculated graph statistics**:
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+deleted = db.delete_graph_statistics()
+for item in deleted:
+    print(item)
+```
+
+### Delete statistics for specific labels
+
+To **delete statistics for specific labels only**:
+
+```python
+from gqlalchemy import Memgraph
+
+db = Memgraph()
+
+deleted = db.delete_graph_statistics(labels=["Person"])
+for item in deleted:
+    print(item)
+```
+
+>Hopefully, this guide has taught you how to manage your Memgraph database using GQLAlchemy. If you
+>have any more questions, join our community and ping us on [Discord](https://discord.gg/memgraph).

docs/how-to-guides/overview.md

@@ -74,6 +74,14 @@ certain algorithm.
 
 - [**Create a graph projection**](query-builder/graph-projection.md)
 
+## Manage Memgraph database
+
+GQLAlchemy provides methods for managing and inspecting your Memgraph database
+instance, including retrieving storage and build information, and analyzing graph
+statistics for index optimization.
+
+- [**Manage Memgraph database**](manage-database.md)
+
 ## Transform Python graphs into Memgraph graphs
 
 GQLAlchemy holds transformations that can transform NetworkX, PyG and DGL graphs

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

@@ -19,6 +19,7 @@ Through this guide, you will learn how to use the GQLAlchemy query builder to:
 - [**Filter data**](#filter-data)
     - [**Filter data by property comparison**](#filter-data-by-property-comparison)
     - [**Filter data by property value**](#filter-data-by-property-value)
+    - [**Filter data with the IN operator**](#filter-data-with-the-in-operator)
     - [**Filter data by label**](#filter-data-by-label)
 - [**Return results**](#return-results)
     - [**Return all variables from a query**](#return-all-variables-from-a-query)
@@ -705,6 +706,45 @@ MATCH (p:Person) WHERE p.age > 18 OR p.name = "John" RETURN *;
 The `literal` keyword is used again since you want `John` to be quoted in the
 Cypher query (to be saved as a string in the database).
 
+### Filter data with the IN operator
+
+You can use the `IN` operator to **check if a property value is contained in a list** of values.
+
+<Tabs
+defaultValue="gqlalchemy"
+values={[
+{label: 'GQLAlchemy', value: 'gqlalchemy'},
+{label: 'Cypher', value: 'cypher'}
+]}>
+<TabItem value="gqlalchemy">
+
+```python
+from gqlalchemy import match
+from gqlalchemy.query_builders.memgraph_query_builder import Operator
+
+results = list(
+    match()
+    .node(labels="Person", variable="p")
+    .where(item="p.name", operator=Operator.IN, literal=["Alice", "Bob"])
+    .return_()
+    .execute()
+)
+
+print(results)
+```
+
+  </TabItem>
+  <TabItem value="cypher">
+
+```cypher
+MATCH (p:Person) WHERE p.name IN ["Alice", "Bob"] RETURN *;
+```
+
+  </TabItem>
+</Tabs>
+
+The `literal` keyword argument is used because you want list values to be properly quoted in the Cypher query. You can also combine `IN` with other boolean operators like `AND`, `OR`, etc.
+
 ### Filter data by label
 
 Nodes can be filtered by their label using the `WHERE` clause instead of

mkdocs.yml

@@ -1,83 +1,84 @@
-
 site_name: GQLAlchemy Documentation
 
 markdown_extensions:
-  - admonition
-  - pymdownx.details
-  - pymdownx.superfences
+- admonition
+- pymdownx.details
+- pymdownx.superfences
 
 theme:
   name: 'material'
   logo: 'assets/memgraph-logo.svg'
   font:
     text: 'Roboto'
-    code: 'Roboto Mono' 
+    code: 'Roboto Mono'
   icon:
     repo: fontawesome/brands/github
   palette:
     primary: 'custom'
     accent: 'custom'
 
 nav:
-  - Getting Started: 'index.md'
-  - Installation: 'installation.md'
-  - Import data: 'import-data.md'
-  - How-to guides:
-    - Overview: 'how-to-guides/overview.md'
-    - Use object graph mapper: 'how-to-guides/ogm.md'
-    - Use query builder: 'how-to-guides/query-builder.md'
-    - Manage streams:
-      - Kafka streams: 'how-to-guides/streams/kafka-streams.md'
-      - Pulsar streams: 'how-to-guides/streams/pulsar-streams.md'
-    - Import data from different sources:
-      - Import table data as a graph: 'how-to-guides/loaders/import-table-data-to-graph-database.md'
-      - Make a custom file system importer: 'how-to-guides/loaders/make-a-custom-file-system-importer.md'
-    - Manage instances:
-      - Manage Memgraph Docker instances: 'how-to-guides/instance-runner/memgraph-docker-instance.md'
-      - Manage Memgraph binary instances: 'how-to-guides/instance-runner/memgraph-binary-instance.md'
-    - Manage database triggers: 'how-to-guides/triggers/triggers.md'
-    - Use on-disk storage: 'how-to-guides/on-disk-storage/on-disk-storage.md'
-    - Create a graph projection: 'how-to-guides/query-builder/graph-projection.md'
-    - Translate Python graphs:
-      - Import Python graphs into Memgraph: 'how-to-guides/translators/import-python-graphs.md'
-      - Export data from Memgraph into Python graphs: 'how-to-guides/translators/export-python-graphs.md'
-  - Reference:
-    - Overview: 'reference/gqlalchemy/overview.md'
-    - graph_algorithms:
-      - integrated_algorithms: 'reference/gqlalchemy/graph_algorithms/integrated_algorithms.md'
-      - query_builder: 'reference/gqlalchemy/graph_algorithms/query_builder.md'
-      - query_modules: 'reference/gqlalchemy/graph_algorithms/query_modules.md'
-    - query_builders:
-      - declarative_base: 'reference/gqlalchemy/query_builders/declarative_base.md'
-      - memgraph_query_builder: 'reference/gqlalchemy/query_builders/memgraph_query_builder.md'
-    - transformations:
-      - transformations.export:
-        - graph_transporter: 'reference/gqlalchemy/transformations/export/graph_transporter.md'
-        - transporter: 'reference/gqlalchemy/transformations/export/transporter.md'
-      - transformations.importing:
-        - graph_importer: 'reference/gqlalchemy/transformations/importing/graph_importer.md'
-        - loaders: 'reference/gqlalchemy/transformations/importing/loaders.md'
-      - transformations.translators:
-        - dgl_translator: 'reference/gqlalchemy/transformations/translators/dgl_translator.md'
-        - nx_translator: 'reference/gqlalchemy/transformations/translators/nx_translator.md'
-        - pyg_translator: 'reference/gqlalchemy/transformations/translators/pyg_translator.md'
-        - translator: 'reference/gqlalchemy/transformations/translators/translator.md'
-    - vendors:
-      - database_client: 'reference/gqlalchemy/vendors/database_client.md'
-      - memgraph: 'reference/gqlalchemy/vendors/memgraph.md'
-      - neo4j: 'reference/gqlalchemy/vendors/neo4j.md'
-    - connection: 'reference/gqlalchemy/connection.md'
-    - disk_storage: 'reference/gqlalchemy/disk_storage.md'
-    - exceptions: 'reference/gqlalchemy/exceptions.md'
-    - instance_runner: 'reference/gqlalchemy/instance_runner.md'
-    - models: 'reference/gqlalchemy/models.md'
-    - utilities: 'reference/gqlalchemy/utilities.md'
-  - Under the Hood:
-    - Overview: 'under-the-hood/overview.md'
-    - Python graph translators: 'under-the-hood/python-graph-translators.md'
-  - Changelog: 'changelog.md'
+- Getting Started: 'index.md'
+- Installation: 'installation.md'
+- Import data: 'import-data.md'
+- How-to guides:
+  - Overview: 'how-to-guides/overview.md'
+  - Use object graph mapper: 'how-to-guides/ogm.md'
+  - Use query builder: 'how-to-guides/query-builder.md'
+  - Manage streams:
+    - Kafka streams: 'how-to-guides/streams/kafka-streams.md'
+    - Pulsar streams: 'how-to-guides/streams/pulsar-streams.md'
+  - Import data from different sources:
+    - Import table data as a graph: 'how-to-guides/loaders/import-table-data-to-graph-database.md'
+    - Make a custom file system importer: 'how-to-guides/loaders/make-a-custom-file-system-importer.md'
+  - Manage instances:
+    - Manage Memgraph Docker instances: 'how-to-guides/instance-runner/memgraph-docker-instance.md'
+    - Manage Memgraph binary instances: 'how-to-guides/instance-runner/memgraph-binary-instance.md'
+  - Manage database triggers: 'how-to-guides/triggers/triggers.md'
+  - Use on-disk storage: 'how-to-guides/on-disk-storage/on-disk-storage.md'
+  - Create a graph projection: 'how-to-guides/query-builder/graph-projection.md'
+  - Manage Memgraph database: 'how-to-guides/manage-database.md'
+  - Translate Python graphs:
+    - Import Python graphs into Memgraph: 'how-to-guides/translators/import-python-graphs.md'
+    - Export data from Memgraph into Python graphs: 'how-to-guides/translators/export-python-graphs.md'
+- Reference:
+  - Overview: 'reference/gqlalchemy/overview.md'
+  - graph_algorithms:
+    - integrated_algorithms: 'reference/gqlalchemy/graph_algorithms/integrated_algorithms.md'
+    - query_builder: 'reference/gqlalchemy/graph_algorithms/query_builder.md'
+    - query_modules: 'reference/gqlalchemy/graph_algorithms/query_modules.md'
+  - query_builders:
+    - declarative_base: 'reference/gqlalchemy/query_builders/declarative_base.md'
+    - memgraph_query_builder: 'reference/gqlalchemy/query_builders/memgraph_query_builder.md'
+  - transformations:
+    - transformations.export:
+      - graph_transporter: 'reference/gqlalchemy/transformations/export/graph_transporter.md'
+      - transporter: 'reference/gqlalchemy/transformations/export/transporter.md'
+    - transformations.importing:
+      - graph_importer: 'reference/gqlalchemy/transformations/importing/graph_importer.md'
+      - loaders: 'reference/gqlalchemy/transformations/importing/loaders.md'
+    - transformations.translators:
+      - dgl_translator: 'reference/gqlalchemy/transformations/translators/dgl_translator.md'
+      - nx_translator: 'reference/gqlalchemy/transformations/translators/nx_translator.md'
+      - pyg_translator: 'reference/gqlalchemy/transformations/translators/pyg_translator.md'
+      - tfgnn_translator: 'reference/gqlalchemy/transformations/translators/tfgnn_translator.md'
+      - translator: 'reference/gqlalchemy/transformations/translators/translator.md'
+  - vendors:
+    - database_client: 'reference/gqlalchemy/vendors/database_client.md'
+    - memgraph: 'reference/gqlalchemy/vendors/memgraph.md'
+    - neo4j: 'reference/gqlalchemy/vendors/neo4j.md'
+  - connection: 'reference/gqlalchemy/connection.md'
+  - disk_storage: 'reference/gqlalchemy/disk_storage.md'
+  - exceptions: 'reference/gqlalchemy/exceptions.md'
+  - instance_runner: 'reference/gqlalchemy/instance_runner.md'
+  - models: 'reference/gqlalchemy/models.md'
+  - utilities: 'reference/gqlalchemy/utilities.md'
+- Under the Hood:
+  - Overview: 'under-the-hood/overview.md'
+  - Python graph translators: 'under-the-hood/python-graph-translators.md'
+- Changelog: 'changelog.md'
 
 repo_name: 'memgraph/gqlalchemy'
 repo_url: 'https://github.com/memgraph/gqlalchemy'
 extra_css:
-  - stylesheets/extra.css
+- stylesheets/extra.css