Gen AI RAG Chatbot for Verifiable Answers

Generic chatbots fail on complex queries. Wonderchat's Gen AI RAG chatbot delivers source-attributed answers from your documentation, eliminating hallucinations and deflecting up to 70% of support tickets.

Trusted by businesses worldwide

Why RAG Chatbots Outperform Standard AI

Traditional AI chatbots often struggle with accuracy, providing incorrect answers that damage customer trust and create more work for your team. Wonderchat's Gen AI RAG technology bridges this gap by retrieving and attributing information directly from your knowledge base. This ensures every response is verifiable, accurate, and based on your specific documentation - whether that's thousands of product pages, complex policies, or technical documentation. Deploy in minutes with our no-code platform and maintain complete control through our built-in hallucination correction tools that continuously improve your chatbot's performance.

Emily

AI Agent

Wonderbot

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Easy 5 minute set-up

How Wonderchat Works

RAG-powered Knowledge Foundation

Train AI on Your Organizational Data

Build your Gen AI RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Create a comprehensive knowledge base that delivers verifiable, source-attributed answers.

Multiple data sources

40+ languages supported

Automatic re-crawling options

RAG-powered Knowledge Foundation

Train AI on Your Organizational Data

Build your Gen AI RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Create a comprehensive knowledge base that delivers verifiable, source-attributed answers.

Multiple data sources

40+ languages supported

Automatic re-crawling options

RAG-powered Knowledge Foundation

Train AI on Your Organizational Data

Build your Gen AI RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Create a comprehensive knowledge base that delivers verifiable, source-attributed answers.

Multiple data sources

40+ languages supported

Automatic re-crawling options

Eliminate AI Hallucinations

Continuous Learning & Accuracy Control

When your RAG chatbot encounters a new question or provides an imperfect response, admins can correct it instantly. These corrections train the AI to avoid similar mistakes, ensuring accuracy.

Source attribution

One-click corrections

Accuracy monitoring

Eliminate AI Hallucinations

Continuous Learning & Accuracy Control

When your RAG chatbot encounters a new question or provides an imperfect response, admins can correct it instantly. These corrections train the AI to avoid similar mistakes, ensuring accuracy.

Source attribution

One-click corrections

Accuracy monitoring

Eliminate AI Hallucinations

Continuous Learning & Accuracy Control

When your RAG chatbot encounters a new question or provides an imperfect response, admins can correct it instantly. These corrections train the AI to avoid similar mistakes, ensuring accuracy.

Source attribution

One-click corrections

Accuracy monitoring

Comprehensive Data Retrieval

Advanced RAG Search Capabilities

Wonderchat's powerful crawling engine indexes vast amounts of content across websites, subdomains, and documents, ensuring your Gen AI RAG chatbot can retrieve information from anywhere in your knowledge base.

Deep content indexing

Full website crawling

Document parsing

Comprehensive Data Retrieval

Advanced RAG Search Capabilities

Wonderchat's powerful crawling engine indexes vast amounts of content across websites, subdomains, and documents, ensuring your Gen AI RAG chatbot can retrieve information from anywhere in your knowledge base.

Deep content indexing

Full website crawling

Document parsing

Comprehensive Data Retrieval

Advanced RAG Search Capabilities

Wonderchat's powerful crawling engine indexes vast amounts of content across websites, subdomains, and documents, ensuring your Gen AI RAG chatbot can retrieve information from anywhere in your knowledge base.

Deep content indexing

Full website crawling

Document parsing

5-minute set up

Build Your Gen AI RAG Chatbot in Minutes

1

Select the Right AI Model – Pick the perfect fit for your support needs.

2

Train AI with Docs, FAQs & Policies – Upload knowledge base files and site links.

3

Customise Workflows & Escalation Rules – AI handles what it can, and escalates what it can’t.

4

Monitor & Optimise with Analytics – See where customers get stuck and fine-tune responses.

Knowledge Gap Identification

RAG Performance Analytics

Track your Gen AI RAG chatbot's performance with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and gain insights into what information your users need most.

Query tracking

Content gap analysis

Resolution metrics

Knowledge Gap Identification

RAG Performance Analytics

Track your Gen AI RAG chatbot's performance with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and gain insights into what information your users need most.

Query tracking

Content gap analysis

Resolution metrics

Knowledge Gap Identification

RAG Performance Analytics

Track your Gen AI RAG chatbot's performance with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and gain insights into what information your users need most.

Query tracking

Content gap analysis

Resolution metrics

Seamless Escalation Path

Human Backup When Needed

When your Gen AI RAG chatbot encounters complex questions beyond its knowledge base, it smoothly transitions to human support, either via email or connecting directly to a live agent.

Smart routing

Context preservation

Custom handover forms

Seamless Escalation Path

Human Backup When Needed

When your Gen AI RAG chatbot encounters complex questions beyond its knowledge base, it smoothly transitions to human support, either via email or connecting directly to a live agent.

Smart routing

Context preservation

Custom handover forms

Seamless Escalation Path

Human Backup When Needed

When your Gen AI RAG chatbot encounters complex questions beyond its knowledge base, it smoothly transitions to human support, either via email or connecting directly to a live agent.

Smart routing

Context preservation

Custom handover forms

40+ Languages

Starts at $0.02/message

Available 24/7

Create Your RAG Chatbot Today

Testimonials

Businesses with successful customer service start

with Wonderchat

Industry Grade Compliance

Wonderchat is GDPR compliant and AICPA SOC 2 Certified.

FAQ

What is a Gen AI RAG chatbot?

A Gen AI RAG (Retrieval Augmented Generation) chatbot combines generative AI with information retrieval capabilities to provide accurate, source-based answers. Unlike standard AI chatbots that rely solely on training data, RAG chatbots actively search through your knowledge base to find relevant information before generating responses, ensuring accuracy and eliminating hallucinations.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat's RAG technology prevents hallucinations by retrieving information directly from your verified data sources before generating responses. Every answer includes attribution to the original source, ensuring factual accuracy. When rare inaccuracies occur, our built-in correction tools allow administrators to instantly fix responses and train the AI to avoid similar mistakes in the future.

What types of data can I use to train my RAG chatbot?

Wonderchat's RAG chatbot can be trained on various data sources including website content (via crawling), documents (PDF, DOCX, TXT), and help desk articles. The platform continuously updates this knowledge through automatic and manual re-crawling options, ensuring your chatbot always provides the most current information.

Can a RAG chatbot handle complex organizational information?

Yes, Wonderchat's RAG chatbots excel at handling complex organizational information such as intricate banking policies, university admissions criteria, or government grant eligibility requirements. The advanced retrieval system can process thousands of pages and documents, making it ideal for regulated industries and organizations with vast, evolving data sets.

How does Wonderchat's RAG chatbot integrate with existing systems?

Wonderchat's RAG chatbots integrate seamlessly with your existing tech stack, including CRMs (HubSpot, Salesforce), helpdesks (Zendesk, Freshdesk), and communication tools (Slack, Discord). Our platform offers both native integrations and a robust API/SDK for custom solutions, ensuring your RAG chatbot works within your established workflows.

How does a RAG chatbot improve customer support efficiency?

RAG chatbots can deflect up to 70% of common support queries by providing instant, accurate answers 24/7. When questions exceed the chatbot's capabilities, it smoothly transitions to human support with all context preserved. This hybrid approach significantly reduces response times, allows support teams to focus on complex issues, and ensures consistent information delivery.

FAQ

What is a Gen AI RAG chatbot?

A Gen AI RAG (Retrieval Augmented Generation) chatbot combines generative AI with information retrieval capabilities to provide accurate, source-based answers. Unlike standard AI chatbots that rely solely on training data, RAG chatbots actively search through your knowledge base to find relevant information before generating responses, ensuring accuracy and eliminating hallucinations.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat's RAG technology prevents hallucinations by retrieving information directly from your verified data sources before generating responses. Every answer includes attribution to the original source, ensuring factual accuracy. When rare inaccuracies occur, our built-in correction tools allow administrators to instantly fix responses and train the AI to avoid similar mistakes in the future.

What types of data can I use to train my RAG chatbot?

Wonderchat's RAG chatbot can be trained on various data sources including website content (via crawling), documents (PDF, DOCX, TXT), and help desk articles. The platform continuously updates this knowledge through automatic and manual re-crawling options, ensuring your chatbot always provides the most current information.

Can a RAG chatbot handle complex organizational information?

Yes, Wonderchat's RAG chatbots excel at handling complex organizational information such as intricate banking policies, university admissions criteria, or government grant eligibility requirements. The advanced retrieval system can process thousands of pages and documents, making it ideal for regulated industries and organizations with vast, evolving data sets.

How does Wonderchat's RAG chatbot integrate with existing systems?

Wonderchat's RAG chatbots integrate seamlessly with your existing tech stack, including CRMs (HubSpot, Salesforce), helpdesks (Zendesk, Freshdesk), and communication tools (Slack, Discord). Our platform offers both native integrations and a robust API/SDK for custom solutions, ensuring your RAG chatbot works within your established workflows.

How does a RAG chatbot improve customer support efficiency?

RAG chatbots can deflect up to 70% of common support queries by providing instant, accurate answers 24/7. When questions exceed the chatbot's capabilities, it smoothly transitions to human support with all context preserved. This hybrid approach significantly reduces response times, allows support teams to focus on complex issues, and ensures consistent information delivery.

FAQ

What is a Gen AI RAG chatbot?

A Gen AI RAG (Retrieval Augmented Generation) chatbot combines generative AI with information retrieval capabilities to provide accurate, source-based answers. Unlike standard AI chatbots that rely solely on training data, RAG chatbots actively search through your knowledge base to find relevant information before generating responses, ensuring accuracy and eliminating hallucinations.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat's RAG technology prevents hallucinations by retrieving information directly from your verified data sources before generating responses. Every answer includes attribution to the original source, ensuring factual accuracy. When rare inaccuracies occur, our built-in correction tools allow administrators to instantly fix responses and train the AI to avoid similar mistakes in the future.

What types of data can I use to train my RAG chatbot?

Wonderchat's RAG chatbot can be trained on various data sources including website content (via crawling), documents (PDF, DOCX, TXT), and help desk articles. The platform continuously updates this knowledge through automatic and manual re-crawling options, ensuring your chatbot always provides the most current information.

Can a RAG chatbot handle complex organizational information?

Yes, Wonderchat's RAG chatbots excel at handling complex organizational information such as intricate banking policies, university admissions criteria, or government grant eligibility requirements. The advanced retrieval system can process thousands of pages and documents, making it ideal for regulated industries and organizations with vast, evolving data sets.

How does Wonderchat's RAG chatbot integrate with existing systems?

Wonderchat's RAG chatbots integrate seamlessly with your existing tech stack, including CRMs (HubSpot, Salesforce), helpdesks (Zendesk, Freshdesk), and communication tools (Slack, Discord). Our platform offers both native integrations and a robust API/SDK for custom solutions, ensuring your RAG chatbot works within your established workflows.

How does a RAG chatbot improve customer support efficiency?

RAG chatbots can deflect up to 70% of common support queries by providing instant, accurate answers 24/7. When questions exceed the chatbot's capabilities, it smoothly transitions to human support with all context preserved. This hybrid approach significantly reduces response times, allows support teams to focus on complex issues, and ensures consistent information delivery.

40+ Languages

Starts at $0.02/message

Available 24/7

Create Your RAG Chatbot Today

The platform to build AI agents that feel human

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