diff --git a/content/develop/ai/search-and-query/advanced-concepts/geo.md b/content/develop/ai/search-and-query/advanced-concepts/geo.md
index 4a31410017..1406326f2a 100644
--- a/content/develop/ai/search-and-query/advanced-concepts/geo.md
+++ b/content/develop/ai/search-and-query/advanced-concepts/geo.md
@@ -111,6 +111,8 @@ For example, the query below finds products within a 100 mile radius of Colorado
 FT.SEARCH productidx '@location:[-104.800644 38.846127 100 mi]'
 ```
 
+Note that `GEO` fields are stored in C `double` type variables and they are limited to approximately 15 to 17 digits of precision.
+
 See [Geospatial queries]({{< relref "/develop/ai/search-and-query/query/geo-spatial" >}})
 for more information about the available query options and see
 [Geospatial indexing]({{< relref "/develop/ai/search-and-query/indexing/geoindex" >}})
diff --git a/content/operate/kubernetes/re-databases/modules.md b/content/operate/kubernetes/re-databases/modules.md
index 91ab08f714..2e47ac19ac 100644
--- a/content/operate/kubernetes/re-databases/modules.md
+++ b/content/operate/kubernetes/re-databases/modules.md
@@ -26,7 +26,7 @@ Redis Enterprise includes several built-in modules:
 
 | Module | Name | Description |
 |--------|------|-------------|
-| **[RediSearch]({{< relref "/develop/interact/search-and-query" >}})** | `search` | Full-text search and secondary indexing |
+| **[RediSearch]({{< relref "/develop/ai/search-and-query/" >}})** | `search` | Full-text search and secondary indexing |
 | **[RedisJSON]({{< relref "/develop/data-types/json" >}})** | `ReJSON` | JSON data type support |
 | **[RedisTimeSeries]({{< relref "/develop/data-types/timeseries" >}})** | `timeseries` | Time series data structures |
 | **[RedisBloom]({{< relref "/develop/data-types/probabilistic" >}})** | `bf` | Probabilistic data structures (Bloom filters, etc.) |