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Sep 22, 2025
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DEV: add precision info to GEO search ref. page #2157

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2 changes: 2 additions & 0 deletions content/develop/ai/search-and-query/advanced-concepts/geo.md
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Expand Up @@ -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" >}})
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2 changes: 1 addition & 1 deletion content/operate/kubernetes/re-databases/modules.md
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Expand Up @@ -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.) |
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