fix typose (#1619)

Signed-off-by: Shui Song Luar <song@soracloud.ai>

Author: luarss

README.md

@@ -21,7 +21,7 @@ If your PR is urgent, let the docs team know in the PR comments, and we will do
 * **/package.json**: Node.js dependencies. Tailwind, for example, is installed via the Node package manager (`npm`).
 * **/config.toml**: Hugo's site configuration, like the root path and menu items. Hugo can access configuration elements when rendering the site. So you can define custom configuration settings here.
 * **/syntax.css**: Hugo supports syntax highlighting via shortcodes. The highlighter is configured via this CSS file.
-* **/Makefile**: We use make to wrap some Hugo commands and to add addtional build steps.
+* **/Makefile**: We use make to wrap some Hugo commands and to add additional build steps.
 * **/tailwind.config.js**: This is the Tailwind CSS framwork's configuration file.
 * **/postcss.config.js**: Needed to make Tailwind statically accessible to the site.
 

content/apis/_index.md

@@ -6,7 +6,7 @@ title: APIs
 type: develop
 ---
 
-Redis provides a number of APIs for developers and operators. The following sections provide you easy access to the client API, the several programmability APIs, the RESTFul management APIs and the Kubernetes resource defintions.
+Redis provides a number of APIs for developers and operators. The following sections provide you easy access to the client API, the several programmability APIs, the RESTFul management APIs and the Kubernetes resource definitions.
 
 ## APIs for Developers
 

content/commands/json.toggle/index.md

@@ -59,7 +59,7 @@ For more information about replies, see [Redis serialization protocol specificat
 ## Examples
 
 <details open>
-<summary><b>Toogle a Boolean value stored at <code>path</code></b></summary>
+<summary><b>Toggle a Boolean value stored at <code>path</code></b></summary>
 
 Create a JSON document.
 

content/commands/tdigest.byrevrank/index.md

@@ -35,7 +35,7 @@ title: TDIGEST.BYREVRANK
 ---
 Returns, for each input reverse rank, an estimation of the value (floating-point) with that reverse rank.
 
-Multiple estimations can be retrieved in a signle call.
+Multiple estimations can be retrieved in a single call.
 
 ## Required arguments
 

content/commands/ts.decrby/index.md

@@ -115,7 +115,7 @@ If the time series is empty, the value is set to `subtrahend`.
 When not specified, the timestamp is set to the Unix time of the server's clock.
 </details>
 
-<details open><summary><code>RETENTION retentionPeriod</code></summmary> 
+<details open><summary><code>RETENTION retentionPeriod</code></summary> 
 
 is maximum retention period, compared to the maximum existing timestamp, in milliseconds.
 

content/develop/interact/search-and-query/advanced-concepts/autocomplete.md

@@ -84,7 +84,7 @@ redis> FT.SUGGET autocomplete hell FUZZY
 
 ### Optional arguments
 
-There are three additional arguments you can use wit `FT.SUGGET`:
+There are three additional arguments you can use with `FT.SUGGET`:
 
 * `MAX num`: limits the results to a maximum of `num`. The default for `MAX` is 5.
 * `WITHSCORES`: returns the score of each suggestion.

content/develop/interact/search-and-query/advanced-concepts/vectors.md

@@ -519,7 +519,7 @@ vectors to represent products in ecommerce catalogs or content in advertising pi
 With the emergence of Large Language Models (LLMs) and the proliferation of applications that require advanced information
 retrieval techniques, Redis is well positioned to serve as your high performance query engine for semantic search and more.
 
-Here are some additonal resources that apply vector search for different use cases:
+Here are some additional resources that apply vector search for different use cases:
 
 - [Retrieval augmented generation from scratch](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/01_redisvl.ipynb)
 - [Semantic caching](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/semantic_caching_gemini.ipynb)

content/integrate/redisvl/user_guide/llmcache.md

@@ -60,7 +60,7 @@ llmcache = SemanticCache(
     name="llmcache",                                          # underlying search index name
     redis_url="redis://localhost:6379",                       # redis connection url string
     distance_threshold=0.1,                                   # semantic cache distance threshold
-    vectorizer=HFTextVectorizer("redis/langcache-embed-v1"),  # embdding model
+    vectorizer=HFTextVectorizer("redis/langcache-embed-v1"),  # embedding model
 )
 ```
 

content/operate/kubernetes/upgrade/upgrade-redis-cluster.md

@@ -37,7 +37,7 @@ Your Redis databases must be running version 7.2 or later before upgrading your
 
 ### RHEL9-compatible modules
 
-Upgrading to Redis operator version 7.8.2-6 involves migrating your Redis Enterprise nodes to RHEL9 from either Ubuntu 18 or RHEL8. If your databases use modules, you need to manually install modules compatibile with RHEL9.
+Upgrading to Redis operator version 7.8.2-6 involves migrating your Redis Enterprise nodes to RHEL9 from either Ubuntu 18 or RHEL8. If your databases use modules, you need to manually install modules compatible with RHEL9.
 
 To see which modules you have installed, run:
 

content/operate/oss_and_stack/stack-with-enterprise/gears-v1/python/quickstart.md

@@ -74,7 +74,7 @@ $ redis-cli rg.pyexecute "`cat wordcount.py`"
 2) (empty array)
 ```
 
-The results here show the number of occurences of each word in all of our strings. So, we've effectively processed the data in our Redis database all at once, in a batch.
+The results here show the number of occurrences of each word in all of our strings. So, we've effectively processed the data in our Redis database all at once, in a batch.
 
 ## Event processing