Markdown for AI Agents vs RAG Chat for Amazon Bedrock

Markdown for AI Agents is a lightweight WordPress plugin that enables HTTP content negotiation for your site’s content. When a client (like an AI agent or a custom script) requests a page with the Accept: text/markdown header, the plugin intercepts the request and returns a clean, structured Markdown representation of the post or page content. This is ideal for AI crawlers, RAG (Retrieval-Augmented Generation) systems, and non-browser clients that prefer machine-friendly text over complex HTML. Important note: This plugin is primarily a developer/integration tool. Human visitors browsing your site will never see any difference — the Markdown output is only served when explicitly requested via the Accept: text/markdown HTTP header. Normal browser requests always receive the standard HTML page. Key Features: Automatically detects Accept: text/markdown headers. Converts HTML content to clean Markdown using the League HTMLToMarkdown library. Strips away theme layout, navigation, headers, footers, and sidebars — serving only the main content. Adds useful HTTP response headers: Content-Type: text/markdown, Vary: Accept, and X-Markdown-Word-Count. Respects WordPress visibility rules and filters. No configuration required — works out of the box for posts, pages, and custom post types. How It Works This plugin uses a standard web technique called HTTP content negotiation. The same URL on your site can serve different representations of the same content depending on what the client asks for: A regular browser sends Accept: text/html → receives your normal HTML page. An AI agent sends Accept: text/markdown → receives a clean Markdown version of the same page. No extra URLs, no duplicate content, no configuration needed. The plugin hooks into WordPress’s template_redirect action, detects the Accept header, captures the rendered HTML, converts it to Markdown, and returns it with appropriate headers. Why Markdown for AI Agents? When building RAG (Retrieval-Augmented Generation) applications or AI pipelines that ingest web content, HTML is extremely noisy. A typical WordPress page contains thousands of tokens worth of HTML tags, inline styles, navigation menus, scripts, and layout markup — none of which carries meaning for an AI model. Serving clean Markdown instead can reduce token consumption by up to 60%, which means: Lower API costs — fewer tokens ingested when loading pages into vector stores or LLM pipelines. Faster processing — less text for the model to parse, filter, and discard. Better retrieval accuracy — higher signal-to-noise ratio improves the quality of RAG results. Simpler pipelines — no need for custom HTML stripping logic on the client side; the plugin handles it server-side. Any AI agent, crawler, or ingestion script that sends Accept: text/markdown in its request header will automatically receive the clean Markdown version — no extra URLs, no separate endpoints, no changes to your content workflow.

RAG Chat for Amazon Bedrock is a WordPress plugin that seamlessly integrates your WordPress content with Amazon Bedrock Knowledge Bases to create an intelligent RAG (Retrieval-Augmented Generation) chatbot system. Key Features: Direct Amazon Bedrock Integration: Connects directly to Amazon Bedrock Knowledge Bases without external servers Automatic Content Synchronization: Automatically syncs WordPress posts and pages to Amazon Bedrock when content is created, updated, or deleted Real-time Chat Interface: Provides a chat widget for visitors to interact with your content using AI Comprehensive Admin Interface: Four dedicated admin pages for configuration and content management AWS Security: Uses AWS Signature Version 4 authentication for secure API communication Content Management: Track sync status and manage which content is synchronized to Amazon Bedrock How It Works: Configure your AWS credentials and Amazon Bedrock Knowledge Base in the plugin settings New WordPress posts and pages are automatically synchronized to Amazon Bedrock when saved or deleted Existing content can be synchronized using the export function in the Content Management page Visitors can use the chat interface to ask questions about your content Amazon Bedrock retrieves relevant content and generates intelligent responses using your WordPress data Requirements: AWS account with Amazon Bedrock access Amazon Bedrock Knowledge Base configured Valid AWS credentials (Access Key ID and Secret Access Key) Demo: See the plugin in action: Live Demo Troubleshooting Plugin Installation & Setup Issues Plugin activation fails Ensure your WordPress version meets the minimum requirement (6.6+) Check that your PHP version is 7.4 or higher Verify there are no plugin conflicts by temporarily deactivating other plugins The chat interface doesn’t appear on my page Make sure you’ve inserted the shortcode [rag_chat_ab_chat] in the correct location Check that the plugin is activated Verify your AWS credentials are correctly configured in the plugin settings Content Synchronization Issues Content sync is failing Verify your AWS credentials have the correct permissions Check that your Knowledge Base ID and Data Source ID are correct Ensure your Knowledge Base has a “Custom” type data source For existing content, use the “Export Posts and Pages to Amazon Bedrock” feature on the Content Management page Export operation times out If you have many posts and pages, “Export Posts and Pages to Amazon Bedrock” may take a long time and cause timeout errors depending on your PHP settings. To reduce the risk of timeout: Export content in smaller batches by selecting specific date ranges Consider increasing your PHP execution time limit if you have server access Contact your hosting provider if timeout issues persist For large-scale exports, we offer a dedicated bulk export PHP script that runs independently on your server and can handle large volumes of content without web browser timeout limitations. Contact us at https://tally.so/r/3jjoga for more information about our bulk export solution AWS Authentication & Permissions AWS permission errors Double-check all required IAM permissions are granted to your user Verify your AWS Access Key ID and Secret Access Key are correct Ensure your AWS account has access to Amazon Bedrock in the selected region Check the AWS CloudTrail logs for detailed error information AWS Marketplace subscription error If you encounter “Model access is denied” with “aws-marketplace:ViewSubscriptions” permission errors: Your IAM user needs the aws-marketplace:ViewSubscriptions permission Add this permission to your IAM user’s policy Wait 15 minutes after fixing the permissions before trying again This is required for AWS Marketplace subscription completion Model Access & Configuration Model use case details required If you encounter an error like “Model use case details have not been submitted for this account. Fill out the Anthropic use case details form before using the model”: Anthropic requires use case details before using their models Fill out the Anthropic use case details form in your AWS console Wait 15 minutes after submitting before trying again See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html Inference profile required error If you get an error like “Invocation of model ID anthropic.claude-haiku-4-5-20251001-v1:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile”: Some models require using inference profiles instead of direct model invocation Use the ID or ARN of an inference profile that contains the model Configure inference profiles in your Amazon Bedrock settings See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html Chat responses are not working Verify that your AWS region is correct in the plugin settings Check that your Knowledge Base contains synchronized content Ensure your IAM user has bedrock:RetrieveAndGenerate permissions Try asking questions related to your synchronized content External services This plugin uses the following Amazon Bedrock API endpoints provided by Amazon Web Services, Inc.: PUT https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id} Called when a post or page is created or updated. Used to add / update content on Amazon Bedrock. The whole content (post or page) is sent. POST https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id}/documents/deleteDocuments Called when a post is deleted or moved to trash. Used to delete content from Amazon Bedrock. Only the post / page ID is sent. POST https://bedrock-agent-runtime.{$region}.amazonaws.com/retrieveAndGenerate Called when a visitor asks a question. Used to generate responses using Amazon Bedrock’s AI. The query that the user enters is sent. The response contains a session ID, and it will be send to this endpoint in the subsequent requests along with the query. Please see the following links for more information about Amazon Web Services: AWS Service Terms AWS Privacy Related Projects This plugin is based on WP RAG (https://github.com/mobalab/wp-rag), which provides RAG functionality using external servers and OpenAI’s APIs. RAG Chat for Amazon Bedrock offers a different approach by integrating directly with Amazon Bedrock Knowledge Bases for users who prefer AWS-native solutions.