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zinggAI · Oct 10, 2023 · a8ad0e4 · a8ad0e4
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diff --git a/docs/accuracy/definingOwn.md b/docs/accuracy/definingOwn.md
@@ -49,8 +49,8 @@ Pair 1 is getting eliminated above, hence last1char is not a good function.&#x20
 
 So, first1char(firstname) will be chosen. This brings near similar records together - in a way, clusters them to break the cartesian join.
 
-These business-specific blocking functions go into [Hash Functions](https://github.com/zinggAI/zingg/tree/main/common/core/src/main/java/zingg/common/core/hash) and must be added to [HashFunctionRegistry](https://github.com/zinggAI/zingg/blob/main/common/core/src/main/java/zingg/common/core/hash/HashFunctionRegistry.java) and [hash functions config](https://github.com/zinggAI/zingg/blob/main/common/core/src/main/resources/hashFunctions.json).
+These business-specific blocking functions go into [Hash Functions](https://github.com/zinggAI/zingg/tree/main/common/core/src/main/java/zingg/common/core/hash) and must be added to [HashFunctionRegistry](../../common/core/src/main/java/zingg/common/core/hash/HashFunctionRegistry.java) and [hash functions config](../../common/core/src/main/resources/hashFunctions.json).
 
-Also, for similarity, you can define your own measures. Each dataType has predefined features, for example, [String](https://github.com/zinggAI/zingg/blob/main/common/core/src/main/java/zingg/common/core/feature/StringFeature.java) fuzzy type is configured for Affine and Jaro.
+Also, for similarity, you can define your own measures. Each dataType has predefined features, for example, [String](../../common/core/src/main/java/zingg/common/core/feature/StringFeature.java) fuzzy type is configured for Affine and Jaro.
 
 You can define your own [comparisons](https://github.com/zinggAI/zingg/tree/main/common/core/src/main/java/zingg/common/core/similarity/function) and use them.
diff --git a/docs/running/databricks.md b/docs/running/databricks.md
@@ -3,7 +3,7 @@ title: Running on Databricks
 parent: Running Zingg on Cloud
 nav_order: 6
 ---
-There are several ways to run Zingg on Databricks. All [file formats and data sources and sinks](https://github.com/zinggAI/zingg/tree/main/docs/dataSourcesAndSinks) are supported within Databricks. 
+There are several ways to run Zingg on Databricks. All [file formats and data sources and sinks](../dataSourcesAndSinks) are supported within Databricks. 
 
 # Running directly within Databricks using the Databricks notebook interface
 This uses the Zingg Python API and an [example notebook is available here](https://github.com/zinggAI/zingg/blob/main/examples/databricks/FebrlExample.ipynb)