diff --git a/src/content/docs/vectorize/best-practices/query-vectors.mdx b/src/content/docs/vectorize/best-practices/query-vectors.mdx
index 11599965553d6c1..a45c80be1ec8ea9 100644
--- a/src/content/docs/vectorize/best-practices/query-vectors.mdx
+++ b/src/content/docs/vectorize/best-practices/query-vectors.mdx
@@ -67,6 +67,15 @@ This would return a set of matches resembling the following, based on the distan
 
 Refer to [Vectorize API](/vectorize/reference/client-api/) for additional examples.
 
+## Query by vector identifier
+
+Vectorize now offers the ability to search for vectors similar to a vector that is already present in the index using the `queryById()` operation. This can be considered as a single operation that combines the `getById()` and the `query()` operation.
+
+```ts
+// the query operation would yield results if a vector with id `some-vector-id` is already present in the index.
+let matches = await env.YOUR_INDEX.queryById("some-vector-id");
+```
+
 ## Control over scoring precision and query accuracy
 
 When querying vectors, you can specify to either use high-precision scoring, thereby increasing the precision of the query matches scores as well as the accuracy of the query results, or use approximate scoring for faster response times.
diff --git a/src/content/docs/vectorize/get-started/intro.mdx b/src/content/docs/vectorize/get-started/intro.mdx
index f92c27ef7342781..e49b7823a7efa5b 100644
--- a/src/content/docs/vectorize/get-started/intro.mdx
+++ b/src/content/docs/vectorize/get-started/intro.mdx
@@ -395,6 +395,8 @@ export default {
 } satisfies ExportedHandler<Env>;
 ```
 
+You can also use the Vectorize `queryById()` operation to search for vectors similar to a vector that is already present in the index.
+
 ## 7. Deploy your Worker
 
 Before deploying your Worker globally, log in with your Cloudflare account by running:
diff --git a/src/content/docs/vectorize/reference/client-api.mdx b/src/content/docs/vectorize/reference/client-api.mdx
index f0706c5ed4f40b9..d15857b26c8f8f7 100644
--- a/src/content/docs/vectorize/reference/client-api.mdx
+++ b/src/content/docs/vectorize/reference/client-api.mdx
@@ -83,6 +83,24 @@ For legacy Vectorize (V1) indexes, `topK` is limited to 20, and the `returnMetad
 
 :::
 
+### Query vectors by ID
+
+```ts
+let matches = await env.YOUR_INDEX.queryById("some-vector-id");
+```
+
+Query an index using a vector that is already present in the index.
+
+Query options remain the same as the query operation described above.
+
+```ts
+let matches = await env.YOUR_INDEX.queryById("some-vector-id", {
+	topK: 5,
+	returnValues: true,
+	returnMetadata: "all",
+});
+```
+
 ### Get vectors by ID
 
 ```ts
diff --git a/src/content/docs/workers/wrangler/commands.mdx b/src/content/docs/workers/wrangler/commands.mdx
index f491c1fc6509a3c..eb32f8959dd905c 100644
--- a/src/content/docs/workers/wrangler/commands.mdx
+++ b/src/content/docs/workers/wrangler/commands.mdx
@@ -139,6 +139,12 @@ wrangler docs [<COMMAND>]
 
 ## `init`
 
+:::note
+
+The `init` command will be removed in a future version. Please use `npm create cloudflare@latest` instead.
+
+:::
+
 Create a new project via the [create-cloudflare-cli (C3) tool](/workers/get-started/guide/#1-create-a-new-worker-project). A variety of web frameworks are available to choose from as well as templates. Dependencies are installed by default, with the option to deploy your project immediately.
 
 ```txt
@@ -591,8 +597,10 @@ npx wrangler vectorize query <INDEX_NAME> [OPTIONS]
 
 - `INDEX_NAME` <Type text="string" /> <MetaInfo text="required" />
   - The name of the Vectorize index to query.
-- `--vector` <Type text="array" /> <MetaInfo text="required" />
-  - Vector against which the Vectorize index is queried.
+- `--vector` <Type text="array" /> <MetaInfo text="optional" />
+  - Vector against which the Vectorize index is queried. Either this or the `vector-id` param must be provided.
+- `--vector-id` <Type text="string" /> <MetaInfo text="optional" />
+  - Identifier for a vector that is already present in the index against which the index is queried. Either this or the `vector` param must be provided.
 - `--top-k` <Type text="number" /> <MetaInfo text="optional" />
   - The number of vectors to query (default: `5`).
 - `--return-values` <Type text="boolean" /> <MetaInfo text="optional" />