binding fix and changelog addition

Author: aninibread

src/content/docs/autorag/get-started.mdx

@@ -25,6 +25,8 @@ To create and upload objects to your bucket from the Cloudflare dashboard:
 2. Select Create bucket, name the bucket, and select **Create bucket**.
 3. Choose to either drag and drop your file into the upload area or **select from computer**.
 
+If you need inspiration for what document to use to make your first AutoRAG, try downloading and uploading the [Cloudflare Changelog](/changelog/rss/index.xml).
+
 ## 2. Create an AutoRAG
 
 To create a new AutoRAG:

src/content/docs/autorag/tutorial/brower-rendering-autorag-tutorial.mdx

@@ -171,7 +171,7 @@ Once you’re happy with the results in the Playground, you can integrate AutoRA
 Then, query your AutoRAG instance from your Worker code by calling the `aiSearch()` method.
 
 ```javascript
-const answer = await env.AI.AutoRAG("my-rag").aiSearch({
+const answer = await env.AI.autorag("my-rag").aiSearch({
 	query: "What is AutoRAG?",
 });
 ```

src/content/docs/autorag/usage/workers-binding.mdx

@@ -34,7 +34,7 @@ binding = "AI" # i.e. available in your Worker on env.AI
 This method searches for relevant results from your data source and generates a response using your default model and the retrieved context, for an AutoRAG named `my-autorag`:
 
 ```js
-const answer = await env.AI.AutoRAG("my-autorag").aiSearch({
+const answer = await env.AI.autorag("my-autorag").aiSearch({
 	query: "How do I train a llama to deliver coffee?",
 	model: "@cf/meta/llama-3.3-70b-instruct-sd",
 	rewrite_query: true,
@@ -61,7 +61,7 @@ This is the response structure without `stream` enabled.
 This method searches for results from your corpus and returns the relevant results, for the AutoRAG instance named `my-autorag`:
 
 ```js
-const answer = await env.AI.AutoRAG("my-autorag").search({
+const answer = await env.AI.autorag("my-autorag").search({
 	query: "How do I train a llama to deliver coffee?",
 	rewrite_query: true,
 	max_num_results: 2,