full overview links

third-party-tools/overview.md

@@ -15,49 +15,49 @@ more.
 Interact with and visualize your QuestDB data using these powerful visualization
 platforms:
 
-- **[Grafana](/third-party-tools/grafana/):** Create stunning dashboards and
-  interactive graphs for time-series data visualization.
-- [Superset](/third-party-tools/superset/): Build interactive visualizations and
-  perform ad-hoc data analysis.
+- **[Grafana](/docs/third-party-tools/grafana/):** Create stunning dashboards
+  and interactive graphs for time-series data visualization.
+- [Superset](/docs/third-party-tools/superset/): Build interactive
+  visualizations and perform ad-hoc data analysis.
 
 ## Data Ingestion and Streaming
 
 Ingest, store, and process high-throughput and real-time data streams with these
 integrations:
 
-- **[Apache Kafka](/third-party-tools/kafka/overview/):** A distributed event
-  streaming platform for high-throughput data pipelines.
-- [Telegraf](/third-party-tools/telegraf/): Collect and report metrics from
+- **[Apache Kafka](/docs/third-party-tools/kafka/overview/):** A distributed
+  event streaming platform for high-throughput data pipelines.
+- [Telegraf](/docs/third-party-tools/telegraf/): Collect and report metrics from
   various sources.
-- **[Redpanda](/third-party-tools/redpanda/): A Kafka-compatible streaming
+- **[Redpanda](/docs/third-party-tools/redpanda/): A Kafka-compatible streaming
   platform for simplified data pipelines.**
-- [Apache Flink](/third-party-tools/flink/): Process real-time data streams
+- [Apache Flink](/docs/third-party-tools/flink/): Process real-time data streams
   efficiently.
-- [Apache Spark](/third-party-tools/spark/): Handle complex data processing
+- [Apache Spark](/docs/third-party-tools/spark/): Handle complex data processing
   tasks at scale.
 
 ## Analytics and Processing
 
 Enhance your data analysis and processing capabilities with QuestDB through
 these tools:
 
-- [Pandas](/third-party-tools/pandas/): Analyze time-series data in Python with
-  powerful data structures.
-- [MindsDB](/third-party-tools/mindsdb/): Build machine learning models for
+- [Pandas](/docs/third-party-tools/pandas/): Analyze time-series data in Python
+  with powerful data structures.
+- [MindsDB](/docs/third-party-tools/mindsdb/): Build machine learning models for
   predictive analytics on time-series data.
-- [Embeddable](/third-party-tools/embeddable/): Developer toolkit for building
-  fast, interactive customer-facing analytics.
+- [Embeddable](/docs/third-party-tools/embeddable/): Developer toolkit for
+  building fast, interactive customer-facing analytics.
 
 ## Tooling and Interfaces
 
 Improve your interactions with QuestDB using these tools and interfaces:
 
-- **[Prometheus](/third-party-tools/prometheus/):** Efficiently store and
+- **[Prometheus](/docs/third-party-tools/prometheus/):** Efficiently store and
   analyze monitoring metrics.
-- [SQLAlchemy](/third-party-tools/sqlalchemy/): Utilize Python's ORM
+- [SQLAlchemy](/docs/third-party-tools/sqlalchemy/): Utilize Python's ORM
   capabilities for database interactions.
-- [qStudio](/third-party-tools/qstudio/): A free SQL GUI for query execution,
-  table browsing, and result charting.
+- [qStudio](/docs/third-party-tools/qstudio/): A free SQL GUI for query
+  execution, table browsing, and result charting.
 
 Is there an integration you'd like to see that's not listed? Let us know by
 opening an issue on [QuestDB Github]({@githubUrl@}/issues/new/choose).