Dante AI vs RAG Chat for Amazon Bedrock

Turn more visitors into customers with your own AI chatbot – no tech skills needed. Dante AI helps your website work smarter by adding a helpful, human-sounding AI chatbot to your WordPress site. It can answer questions, guide visitors, and help you generate more leads – automatically. Whether you’re running a blog, a local business, or an online shop, Dante AI gives your visitors instant support – so they stay longer, trust you more, and convert faster. Key Features Quick Setup – Add your AI chatbot in minutes Create AI Chatbots Easily – Set up and manage your chatbot directly from your WordPress dashboard One-Click Training – Instantly train your AI chatbot using your WordPress website’s existing content Customize the Look and Personality – Match your AI chatbot to your brand with simple appearance settings Track Performance – See how your AI chatbot is helping with easy-to-read stats Mobile Friendly – Works beautifully on phones, tablets, and desktops How It Works Sign up for a free Dante AI account Create your chatbot (no coding needed) Copy your API key Connect it to your WordPress site You’re live! Start engaging your visitors automatically Data and Privacy We take your privacy seriously – and that of your visitors. Here’s what you need to know: You stay in control – Chat data belongs to you and is visible only in your Dante AI dashboard No personal info is collected – Unless a user voluntarily types it in during a conversation Secure and private – Conversations are processed and stored securely on Dante AI servers Easy to turn off – You can disable the chatbot any time from your WordPress admin panel For more details, see our Privacy Policy and Terms of Service

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.