Jacob Graham

<p>ContentOracle AI Chat adds powerful no-code, fully-customizable, content-aware AI chat features to your site. By combining the power of AI with the insights provided by your site content, ContentOracle AI Chat brings your users an unrivaled chat experience.</p>
<p>The plugin features a comprehensive setup wizard to get you started quickly, advanced filtering and sorting capabilities to fine-tune AI responses, bulk embedding system for large content libraries, and shortcode support for maximum flexibility. With semantic text matching, inline content recommendations, and goal-based suggestions, your visitors get personalized, contextually relevant answers that draw from your unique content expertise.</p>
<p>Whether you’re a small business, content creator, or enterprise, ContentOracle AI Chat transforms your website into an intelligent, conversational interface that understands your content and helps visitors find exactly what they’re looking for.</p>
<h3>Demo!</h3>
<p><strong>Try it Here:</strong> <a href="https://demo.scrywp.com/" rel="nofollow ugc">demo.scrywp.com/</a></p>
<h3>Intro</h3>
<p><iframe loading="lazy" title="Announcing ContentOracleAI Chat: a RAG AI Chat Plugin for WordPress!" width="750" height="422" src="https://www.youtube.com/embed/W9pr_weJHWA?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe></p>
<p>The internet is changing. Millions of people every day ask artificial intelligence for recommendations, facts, and how-to knowledge. However, AI lacks the specialist knowledge that many online content creators and businesses provide.</p>
<p>ContentOracle AI Chat bridges this gap by combining your unique content with AI’s capabilities. It delivers tailored answers based on your content, recommends relevant posts, products, and events, and provides analytics to enhance your site’s user experience.</p>
<h3>Features</h3>
<ul>
<li>Content-aware, retrieval augmented AI chat for site visitors.</li>
<li>Semantic text matching using text embeddings.</li>
<li>AI can recommend products, posts, events, and other content inline.</li>
<li>Chatbot cites its sources in its messages.</li>
<li>Inline content recommendations in chat bubbles.</li>
<li>Full support and customizability with the block editor.</li>
<li>No code or third-party integrations required!</li>
<li>Compatible with major page builders.</li>
<li>AI agent speech habits customizable.</li>
<li>Setup wizard for easy initial configuration.</li>
<li>Advanced content filtering and sorting system.</li>
<li>Shortcode support for placing blocks anywhere in any site builder.</li>
<li>Bulk embedding system for large content libraries (tested with 20k+ posts!).</li>
<li>Analytics dashboard with chat log management and insights.</li>
<li>Custom field (meta) filtering and sorting.</li>
<li>Post type and date-based filtering.</li>
<li>Multi-group filter system with AND/OR logic.</li>
<li>Automatic embedding generation for new content.</li>
<li>Embedding queue management system.</li>
<li>Data cleanup options on plugin deletion.</li>
<li>Mobile-optimized chat UI.</li>
<li>Streamed chat support.</li>
<li>Greeter section with suggested conversation starters.</li>
<li>Goal-based content recommendations.</li>
<li>Customizable button and styling options.</li>
<li>Nonce verification for enhanced security.</li>
<li>Support for multiple retrieval methods.</li>
<li>Chat log storage and analytics for user interaction tracking.</li>
<li>Configurable chat log retention periods with automatic cleanup.</li>
<li>Bulk chat log management with delete functionality.</li>
<li>Chat log viewer with pagination and sorting capabilities.</li>
<li>Floating chat widget with site-wide button and customizable styling.</li>
<li>WordPress customizer integration for live preview of floating chat appearance.</li>
<li>Multiple icon options for floating chat button (chat bubble, question mark, robot, etc.).</li>
<li>Responsive floating chat design optimized for mobile devices.</li>
<li>Widget area system for managing floating chat content.</li>
<li>Neutral color scheme by default for better brand compatibility.</li>
</ul>
<h3>3rd-Party Services</h3>
<p>This plugin uses the ContentOracle AI API to process user messages, index website content, and generate responses.<br />
– API URL: <a href="https://app.scrywp.com" rel="nofollow ugc">https://app.scrywp.com</a><br />
– Terms of Service: <a href="https://app.scrywp.com/terms" rel="nofollow ugc">https://app.scrywp.com/terms</a></p>
<p>Data sent to the API includes user messages, site content, server/client domains, and analytics. Messages and content may be stored for debugging and feature development.</p>
<h3>3rd-Party Libraries</h3>
<p>This plugin uses the following libraries:<br />
– <strong>AlpineJS</strong>: Reactive data for UI (<a href="https://github.com/alpinejs/alpine" rel="nofollow ugc">GitHub</a>)<br />
– <strong>Floating UI</strong>: Tooltip positioning (<a href="https://github.com/floating-ui/floating-ui" rel="nofollow ugc">GitHub</a>)<br />
– <strong>PHP NLP Tools</strong>: Natural language processing (<a href="https://github.com/angeloskath/php-nlp-tools" rel="nofollow ugc">GitHub</a>)<br />
– <strong>CommonMark</strong>: PHP library to parse markdown server-side (<a href="https://github.com/thephpleague/commonmark" rel="nofollow ugc">Github</a>)<br />
– <strong>Marked</strong>: Markdown to HTML parser (<a href="https://github.com/markedjs/marked" rel="nofollow ugc">Github</a>)<br />
– <strong>DOMPurify</strong>: HTML XSS sanitizer (<a href="https://github.com/cure53/DOMPurify" rel="nofollow ugc">Github</a>)</p>


ContentOracle AI Chat


Look, I know I am biased, since I develop this plugin.  But all my clients who have used it so far have been happy with it.


Clients have all been pleased!

ContentOracle AI Search seamlessly blends the power of generative AI with your website’s unique content.

mobalabkashima

<p>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.</p>
<p><strong>Key Features:</strong></p>
<ul>
<li><strong>Direct Amazon Bedrock Integration</strong>: Connects directly to Amazon Bedrock Knowledge Bases without external servers</li>
<li><strong>Automatic Content Synchronization</strong>: Automatically syncs WordPress posts and pages to Amazon Bedrock when content is created, updated, or deleted</li>
<li><strong>Real-time Chat Interface</strong>: Provides a chat widget for visitors to interact with your content using AI</li>
<li><strong>Comprehensive Admin Interface</strong>: Four dedicated admin pages for configuration and content management</li>
<li><strong>AWS Security</strong>: Uses AWS Signature Version 4 authentication for secure API communication</li>
<li><strong>Content Management</strong>: Track sync status and manage which content is synchronized to Amazon Bedrock</li>
</ul>
<p><strong>How It Works:</strong></p>
<ol>
<li>Configure your AWS credentials and Amazon Bedrock Knowledge Base in the plugin settings</li>
<li>New WordPress posts and pages are automatically synchronized to Amazon Bedrock when saved or deleted</li>
<li>Existing content can be synchronized using the export function in the Content Management page</li>
<li>Visitors can use the chat interface to ask questions about your content</li>
<li>Amazon Bedrock retrieves relevant content and generates intelligent responses using your WordPress data</li>
</ol>
<p><strong>Requirements:</strong></p>
<ul>
<li>AWS account with Amazon Bedrock access</li>
<li>Amazon Bedrock Knowledge Base configured</li>
<li>Valid AWS credentials (Access Key ID and Secret Access Key)</li>
</ul>
<p><strong>Demo:</strong></p>
<p>See the plugin in action: <a href="https://wp-rag-demo.mobalab.net/ask-rag-chat-for-amazon-bedrock/" rel="nofollow ugc">Live Demo</a></p>
<h3>Troubleshooting</h3>
<p><strong>Plugin Installation & Setup Issues</strong></p>
<h4>Plugin activation fails</h4>
<ol>
<li>Ensure your WordPress version meets the minimum requirement (6.6+)</li>
<li>Check that your PHP version is 7.4 or higher</li>
<li>Verify there are no plugin conflicts by temporarily deactivating other plugins</li>
</ol>
<h4>The chat interface doesn’t appear on my page</h4>
<ol>
<li>Make sure you’ve inserted the shortcode <code>[rag_chat_ab_chat]</code> in the correct location</li>
<li>Check that the plugin is activated</li>
<li>Verify your AWS credentials are correctly configured in the plugin settings</li>
</ol>
<p><strong>Content Synchronization Issues</strong></p>
<h4>Content sync is failing</h4>
<ol>
<li>Verify your AWS credentials have the correct permissions</li>
<li>Check that your Knowledge Base ID and Data Source ID are correct</li>
<li>Ensure your Knowledge Base has a “Custom” type data source</li>
<li>For existing content, use the “Export Posts and Pages to Amazon Bedrock” feature on the Content Management page</li>
</ol>
<h4>Export operation times out</h4>
<p>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:</p>
<ol>
<li>Export content in smaller batches by selecting specific date ranges</li>
<li>Consider increasing your PHP execution time limit if you have server access</li>
<li>Contact your hosting provider if timeout issues persist</li>
<li>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 <a href="https://tally.so/r/3jjoga" rel="nofollow ugc">https://tally.so/r/3jjoga</a> for more information about our bulk export solution</li>
</ol>
<p><strong>AWS Authentication & Permissions</strong></p>
<h4>AWS permission errors</h4>
<ol>
<li>Double-check all required IAM permissions are granted to your user</li>
<li>Verify your AWS Access Key ID and Secret Access Key are correct</li>
<li>Ensure your AWS account has access to Amazon Bedrock in the selected region</li>
<li>Check the AWS CloudTrail logs for detailed error information</li>
</ol>
<h4>AWS Marketplace subscription error</h4>
<p>If you encounter “Model access is denied” with “aws-marketplace:ViewSubscriptions” permission errors:</p>
<ol>
<li>Your IAM user needs the <code>aws-marketplace:ViewSubscriptions</code> permission</li>
<li>Add this permission to your IAM user’s policy</li>
<li>Wait 15 minutes after fixing the permissions before trying again</li>
<li>This is required for AWS Marketplace subscription completion</li>
</ol>
<p><strong>Model Access & Configuration</strong></p>
<h4>Model use case details required</h4>
<p>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”:</p>
<ol>
<li>Anthropic requires use case details before using their models</li>
<li>Fill out the Anthropic use case details form in your AWS console</li>
<li>Wait 15 minutes after submitting before trying again</li>
<li>See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html</li>
</ol>
<h4>Inference profile required error</h4>
<p>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”:</p>
<ol>
<li>Some models require using inference profiles instead of direct model invocation</li>
<li>Use the ID or ARN of an inference profile that contains the model</li>
<li>Configure inference profiles in your Amazon Bedrock settings</li>
<li>See the AWS documentation: https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html</li>
</ol>
<h4>Chat responses are not working</h4>
<ol>
<li>Verify that your AWS region is correct in the plugin settings</li>
<li>Check that your Knowledge Base contains synchronized content</li>
<li>Ensure your IAM user has <code>bedrock:RetrieveAndGenerate</code> permissions</li>
<li>Try asking questions related to your synchronized content</li>
</ol>
<h3>External services</h3>
<p>This plugin uses the following Amazon Bedrock API endpoints provided by Amazon Web Services, Inc.:</p>
<ul>
<li>PUT https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id}
<ul>
<li>Called when a post or page is created or updated.</li>
<li>Used to add / update content on Amazon Bedrock.</li>
<li>The whole content (post or page) is sent.</li>
</ul>
</li>
<li>POST https://bedrock-agent.{$region}.amazonaws.com/knowledgebases/{$knowledge_base_id}/datasources/{$data_source_id}/documents/deleteDocuments
<ul>
<li>Called when a post is deleted or moved to trash.</li>
<li>Used to delete content from Amazon Bedrock.</li>
<li>Only the post / page ID is sent.</li>
</ul>
</li>
<li>POST https://bedrock-agent-runtime.{$region}.amazonaws.com/retrieveAndGenerate
<ul>
<li>Called when a visitor asks a question.</li>
<li>Used to generate responses using Amazon Bedrock’s AI.</li>
<li>The query that the user enters is sent.</li>
<li>The response contains a session ID, and it will be send to this endpoint in the subsequent requests along with the query.</li>
</ul>
</li>
</ul>
<p>Please see the following links for more information about Amazon Web Services:</p>
<ul>
<li><a href="https://aws.amazon.com/service-terms/" rel="nofollow ugc">AWS Service Terms</a></li>
<li><a href="https://aws.amazon.com/privacy/" rel="nofollow ugc">AWS Privacy</a></li>
</ul>
<h3>Related Projects</h3>
<p>This plugin is based on <strong>WP RAG</strong> (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.</p>


RAG Chat for Amazon Bedrock

Integrate WordPress content with Amazon Bedrock Knowledge Bases to create an intelligent RAG (Retrieval-Augmented Generation) chatbot system.

ContentOracle AI Chat vs RAG Chat for Amazon Bedrock