Update javascript client sample program and Vale rules (#6435)

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

.github/vale/styles/OpenSearch/LinksDoubleParentheses.yml

@@ -5,5 +5,4 @@ nonword: true
 scope: raw
 tokens:
   - '\]\({2,}[^)]*?\){1,}'
-  - '\]\([^]]*?\){2,}'
+  
-  

.github/vale/styles/OpenSearch/LinksDoubleSlash.yml

@@ -4,4 +4,4 @@ level: error
 nonword: true
 scope: raw
 tokens:
-  - '\(\{\{site.url\}\}\{\{site.baseurl\}\}.*\/{2,}.*\)'
+  - '\(\{\{site.url\}\}\{\{site.baseurl\}\}[^)]*?\/{2,}[^)]*?\)'

_clients/javascript/index.md

@@ -17,7 +17,7 @@ You can use helper methods to simplify the use of complicated API tasks. For mor
 
 ## Setup
 
-To add the client to your project, install it from [npm](https://www.npmjs.com):
+To add the client to your project, install it from [`npm`](https://www.npmjs.com):
 
 ```bash
 npm install @opensearch-project/opensearch
@@ -31,7 +31,7 @@ npm install @opensearch-project/opensearch@<version>
 ```
 {% include copy.html %}
 
-If you prefer to add the client manually or just want to examine the source code, see [opensearch-js](https://github.com/opensearch-project/opensearch-js) on GitHub.
+If you prefer to add the client manually or only want to examine the source code, see [`opensearch-js`](https://github.com/opensearch-project/opensearch-js) on GitHub.
 
 Then require the client:
 
@@ -71,7 +71,22 @@ var client = new Client({
 ```
 {% include copy.html %}
 
-## Authenticating with Amazon OpenSearch Service – AWS Sigv4
+If you are not using the Security plugin, create a client object with the address `http://localhost:9200`:
+
+```javascript
+var host = "localhost";
+var protocol = "http";
+var port = 9200;
+
+// Create a client
+var { Client } = require("@opensearch-project/opensearch");
+var client = new Client({
+  node: protocol + "://" + host + ":" + port
+});
+```
+{% include copy.html %}
+
+## Authenticating with Amazon OpenSearch Service: AWS Signature Version 4
 
 Use the following code to authenticate with AWS V2 SDK:
 
@@ -345,7 +360,23 @@ var response = await client.update({
   }
 });
 ```
+{% include copy.html %}
 
+For example, the following code updates the `genre` field and adds a `tv_adapted` field to the document specified by `id`:
+
+```javascript
+var response = await client.update({
+    index: index_name,
+    id: id,
+    body: {
+      doc: {
+        genre: "Detective fiction",
+        tv_adapted: true
+      }
+    },
+    refresh: true
+  });
+```
 {% include copy.html %}
 
 ## Deleting a document
@@ -384,11 +415,11 @@ var port = 9200;
 var auth = "admin:<custom-admin-password>"; // For testing only. Don't store credentials in code.
 var ca_certs_path = "/full/path/to/root-ca.pem";
 
-// Optional client certificates if you don't want to use HTTP basic authentication.
+// Optional client certificates if you don't want to use HTTP basic authentication
 // var client_cert_path = '/full/path/to/client.pem'
 // var client_key_path = '/full/path/to/client-key.pem'
 
-// Create a client with SSL/TLS enabled.
+// Create a client with SSL/TLS enabled
 var { Client } = require("@opensearch-project/opensearch");
 var fs = require("fs");
 var client = new Client({
@@ -403,7 +434,7 @@ var client = new Client({
 });
 
 async function search() {
-  // Create an index with non-default settings.
+  // Create an index with non-default settings
   var index_name = "books";
   
   var settings = {
@@ -423,7 +454,7 @@ async function search() {
   console.log("Creating index:");
   console.log(response.body);
 
-  // Add a document to the index.
+  // Add a document to the index
   var document = {
     title: "The Outsider",
     author: "Stephen King",
@@ -443,7 +474,7 @@ async function search() {
   console.log("Adding document:");
   console.log(response.body);
 
-  // Search for the document.
+  // Search for the document
   var query = {
     query: {
       match: {
@@ -460,9 +491,41 @@ async function search() {
   });
 
   console.log("Search results:");
-  console.log(response.body.hits);
+  console.log(JSON.stringify(response.body.hits, null, "  "));
 
-  // Delete the document.
+  // Update a document
+  var response = await client.update({
+    index: index_name,
+    id: id,
+    body: {
+      doc: {
+        genre: "Detective fiction",
+        tv_adapted: true
+      }
+    },
+    refresh: true
+  });
+
+  // Search for the updated document
+  var query = {
+    query: {
+      match: {
+        title: {
+          query: "The Outsider",
+        },
+      },
+    },
+  };
+
+  var response = await client.search({
+    index: index_name,
+    body: query,
+  });
+
+  console.log("Search results:");
+  console.log(JSON.stringify(response.body.hits, null, "  "));
+
+  // Delete the document
   var response = await client.delete({
     index: index_name,
     id: id,
@@ -471,7 +534,7 @@ async function search() {
   console.log("Deleting document:");
   console.log(response.body);
 
-  // Delete the index.
+  // Delete the index
   var response = await client.indices.delete({
     index: index_name,
   });
@@ -483,6 +546,7 @@ async function search() {
 search().catch(console.log);
 ```
 {% include copy.html %}
+
 ## Circuit breaker
 
 The `memoryCircuitBreaker` option can be used to prevent errors caused by a response payload being too large to fit into the heap memory available to the client.

_query-dsl/term-vs-full-text.md

@@ -8,7 +8,7 @@ redirect_from:
 
 # Term-level and full-text queries compared
 
-You can use both term-level and full-text queries to search text, but while term-level queries are usually used to search structured data, full-text queries are used for full-text search. The main difference between term-level and full-text queries is that term-level queries search documents for an exact specified term, while full-text queries [analyze]({{{site.url}}{{site.baseurl}}/analyzers/) the query string. The following table summarizes the differences between term-level and full-text queries.
+You can use both term-level and full-text queries to search text, but while term-level queries are usually used to search structured data, full-text queries are used for full-text search. The main difference between term-level and full-text queries is that term-level queries search documents for an exact specified term, while full-text queries [analyze]({{site.url}}{{site.baseurl}}/analyzers/) the query string. The following table summarizes the differences between term-level and full-text queries.
 
 | | Term-level queries | Full-text queries
 :--- | :--- | :---