getting started + bindings

Author: aninibread

src/content/docs/autorag/concepts/how-autorag-works.mdx

@@ -0,0 +1,8 @@
+---
+pcx_content_type: concept
+title: How AutoRAG works
+sidebar:
+  order: 6
+---
+
+xyz

src/content/docs/autorag/concepts/index.mdx

@@ -0,0 +1,12 @@
+---
+pcx_content_type: navigation
+title: Key concepts
+sidebar:
+  order: 2
+  group:
+    hideIndex: true
+---
+
+import { DirectoryListing } from "~/components";
+
+<DirectoryListing />

src/content/docs/autorag/configuration/index.mdx

@@ -0,0 +1,12 @@
+---
+pcx_content_type: navigation
+title: Configuration
+sidebar:
+  order: 4
+  group:
+    hideIndex: true
+---
+
+import { DirectoryListing } from "~/components";
+
+<DirectoryListing />

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

@@ -0,0 +1,87 @@
+---
+pcx_content_type: concept
+title: Workers binding
+sidebar:
+  order: 6
+---
+
+import {
+	Badge,
+	Description,
+	Render,
+	TabItem,
+	Tabs,
+	WranglerConfig,
+    MetaInfo,
+    Type,
+} from "~/components";
+
+A binding enables your Worker or Pages Function to interact with resources, like AutoRAG, on the Cloudflare Developer Platform. To use your AutoRAG with Workers or Pages, you can create an AI binding. 
+
+
+## Workers
+
+[Workers](/workers/) provides a serverless execution environment that allows you to create new applications or augment existing ones. 
+
+You can create bindings on the Cloudflare dashboard or by updating your [Wrangler file](/workers/wrangler/configuration/). To bind AutoRAG to your Worker, add the following to the end of your Wrangler file:
+
+<WranglerConfig>
+
+```toml
+[ai]
+binding = "AI" # i.e. available in your Worker on env.AI
+```
+
+</WranglerConfig>
+
+## Pages Functions
+
+[Pages Functions](/pages/functions/) allow you to build full-stack applications with Cloudflare Pages by executing code on the Cloudflare network. Functions are Workers under the hood.
+
+To configure an AutoRAG binding in your Pages Function, you must use the Cloudflare Dashboard. Refer to [AI bindings](/pages/functions/bindings/#workers-ai) for instructions. [Anni Need to update here!]
+
+## Methods
+
+There are...
+
+### `aiSearch()`
+
+For an AutoRAG named `my-autorag`...
+
+```js
+const answer = await env.AI.AutoRAG('my-autorag').aiSearch({
+    query: 'What are the latest Cloudflare Workers updates?'
+});
+```
+
+#### Parameters
+
+- `query` <Type text="string" /> <MetaInfo text="required" />
+- `max_num_results` <Type text="number" /> <MetaInfo text="optional" />
+- `ranking_options` 
+    - `score_threshold` <Type text="number" /> <MetaInfo text="optional" />
+- `rewrite_query` <Type text="boolean" /> <MetaInfo text="optional" />
+
+#### Response
+
+### `search()`
+
+For an AutoRAG named `my-autorag`...
+
+```js
+const answer = await env.AI.AutoRAG('my-autorag').search({
+    query: 'What are the latest Cloudflare Workers updates?'
+});
+```
+
+#### Parameters
+
+#### Response
+
+
+
+
+
+
+
+

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

@@ -5,6 +5,62 @@ sidebar:
   order: 2
 head:
   - tag: title
-    content: Get started with Cloudflare DNS
-    Description:
+    content: Get started with AutoRAG
+    Description: XX
 ---
+
+AutoRAG allows developers to create fully managed retrieval-augmented generation (RAG) pipelines to power AI applications with accurate and up-to-date information without needing to manage infrastructure.
+
+## 1. (Optional) Upload data
+
+AutoRAG integrates with R2 for data import. Create an R2 bucket if you don’t have one and upload your data. 
+
+:::note
+Before you create your first bucket, you must purchase R2 from the Cloudflare dashboard.
+:::
+
+To create and upload objects to your bucket from the Cloudflare Dashboard:
+
+1. Log in to the [Cloudflare Dashboard](https://dash.cloudflare.com) and select **R2**.
+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**.
+
+## 2. Create an AutoRAG
+
+To create a new AutoRAG:
+
+1. Log in to the [Cloudflare Dashboard](https://dash.cloudflare.com) and select **AI** then **AutoRAG**.
+2. Select **Create AutoRAG** and complete the setup process:
+    - Select a **R2 bucket**.
+    - Select an **embedding model**.
+    - Select a **LLM model**.
+    - Select or create an **AI Gateway**.
+    - Enter a **name** for the AutoRAG.
+    - Create a new **API token** or reuse an existing API token.
+3. Select **Create**
+
+## 3. Monitor indexing 
+
+Once created, AutoRAG will create a Vectorize database in your account and begin indexing the data. 
+
+To monitor the indexing progress:
+
+1. From the **AutoRAG** page in the dashboard, locate and select your AutoRAG.
+2. Navigate to the **Overview** page to view the current indexing progress.
+
+## 4. Try it out
+
+Once indexing is complete, to try out the AutoRAG:
+
+1. From the **AutoRAG** page in the dashboard, locate and select your AutoRAG.
+2. Navigate to the **Playground** page.
+3. Select **Search with AI** or **Search**.
+4. Enter a **query** to test out its response.
+
+
+## Use AutoRAG options
+
+Cloudflare provides multiple ways for developers to use AutoRAG in their applications:
+
+- REST API
+- Workers Binding

src/content/docs/autorag/index.mdx

@@ -9,6 +9,14 @@ head:
     content: Cloudflare AutoRAG
 ---
 
+import {
+	CardGrid,
+	Description,
+	LinkTitleCard,
+	Plan,
+	RelatedProduct,
+} from "~/components";
+
 <Plan type="all" />
 ---
 

src/content/products/autorag.yaml

@@ -9,10 +9,10 @@ product:
 
 meta:
   title: AutoRAG
-  description:
+  description: Create fully managed RAG pipelines for your AI applications.
   author: '@cloudflare'
 
 resources:
-    community:
+    community: 
     dashboard_link:
     discord: https://discord.gg/cloudflaredev