Build RAG Chatbots in Minutes, No Code Required

Create intelligent RAG chatbots trained on your documents, websites, and knowledge bases. Deliver instant, accurate answers with source attribution—all without writing a single line of code.

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Trusted by businesses worldwide

Why RAG Chatbots Outperform Standard AI

Traditional chatbots struggle with accuracy and often hallucinate answers, frustrating users and damaging trust. RAG (Retrieval-Augmented Generation) solves this by grounding AI responses in your verified content. With Wonderchat's RAG technology, your chatbot retrieves specific information from your knowledge base before generating responses, ensuring answers are always accurate and verifiable. This eliminates hallucinations while maintaining the conversational ability that makes AI chatbots valuable.

Emily

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Wonderbot

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Easy 5 minute set-up

How Wonderchat Works

Data-Powered Intelligence

Train AI on Your Unique Content

Quickly transform your documents, websites and help desk articles into a powerful knowledge foundation for your RAG chatbot. Upload files, connect websites, or sync with existing systems.

Multiple file formats supported

Unlimited website crawling

40+ languages automatically

Data-Powered Intelligence

Train AI on Your Unique Content

Quickly transform your documents, websites and help desk articles into a powerful knowledge foundation for your RAG chatbot. Upload files, connect websites, or sync with existing systems.

Multiple file formats supported

Unlimited website crawling

40+ languages automatically

Data-Powered Intelligence

Train AI on Your Unique Content

Quickly transform your documents, websites and help desk articles into a powerful knowledge foundation for your RAG chatbot. Upload files, connect websites, or sync with existing systems.

Multiple file formats supported

Unlimited website crawling

40+ languages automatically

Accuracy Guaranteed

Eliminate AI Hallucinations

Ensure your RAG chatbot delivers only factual, verifiable answers sourced directly from your content. Correct any inaccuracies on the fly and train the system to avoid similar mistakes.

Source attribution for answers

Continuous improvement

Manual correction tools

Accuracy Guaranteed

Eliminate AI Hallucinations

Ensure your RAG chatbot delivers only factual, verifiable answers sourced directly from your content. Correct any inaccuracies on the fly and train the system to avoid similar mistakes.

Source attribution for answers

Continuous improvement

Manual correction tools

Accuracy Guaranteed

Eliminate AI Hallucinations

Ensure your RAG chatbot delivers only factual, verifiable answers sourced directly from your content. Correct any inaccuracies on the fly and train the system to avoid similar mistakes.

Source attribution for answers

Continuous improvement

Manual correction tools

Comprehensive Knowledge Retrieval

Advanced Search Capabilities

Wonderchat's RAG technology can crawl and index vast amounts of content, creating a unified knowledge base that delivers precise answers even from complex, fragmented information sources.

Index thousands of pages

Automatic content updates

Semantic understanding

Comprehensive Knowledge Retrieval

Advanced Search Capabilities

Wonderchat's RAG technology can crawl and index vast amounts of content, creating a unified knowledge base that delivers precise answers even from complex, fragmented information sources.

Index thousands of pages

Automatic content updates

Semantic understanding

Comprehensive Knowledge Retrieval

Advanced Search Capabilities

Wonderchat's RAG technology can crawl and index vast amounts of content, creating a unified knowledge base that delivers precise answers even from complex, fragmented information sources.

Index thousands of pages

Automatic content updates

Semantic understanding

5-minute set up

Build Your RAG Chatbot in 3 Simple Steps

Start for Free

Start for Free

Start for Free

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.

Beyond Simple Q&A

Create Complex Conversation Flows

Build sophisticated RAG chatbots that do more than answer questions. Guide users through structured processes, collect information, and execute actions based on your business rules.

Multi-step sequences

Conditional logic

Data collection forms

Beyond Simple Q&A

Create Complex Conversation Flows

Build sophisticated RAG chatbots that do more than answer questions. Guide users through structured processes, collect information, and execute actions based on your business rules.

Multi-step sequences

Conditional logic

Data collection forms

Beyond Simple Q&A

Create Complex Conversation Flows

Build sophisticated RAG chatbots that do more than answer questions. Guide users through structured processes, collect information, and execute actions based on your business rules.

Multi-step sequences

Conditional logic

Data collection forms

Performance Insights

Measure Impact with Analytics

Track how your RAG chatbot performs with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and continuously refine your content for better performance.

User interaction tracking

Popular query analysis

Knowledge gap detection

Performance Insights

Measure Impact with Analytics

Track how your RAG chatbot performs with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and continuously refine your content for better performance.

User interaction tracking

Popular query analysis

Knowledge gap detection

Performance Insights

Measure Impact with Analytics

Track how your RAG chatbot performs with comprehensive analytics. Identify knowledge gaps, monitor resolution rates, and continuously refine your content for better performance.

User interaction tracking

Popular query analysis

Knowledge gap detection

40+ Languages

Starts at $0.02/message

Available 24/7

Start Building Your RAG Chatbot Today

Start for Free

Start for Free

Start for Free

View Demo

View Demo

View Demo

14-day free trial. No credit card required

Testimonials

Businesses with successful customer service start

with Wonderchat

Schedule a Call

Schedule a Call

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View Customer Stories

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Industry Grade Compliance

Wonderchat is GDPR compliant and AICPA SOC 2 Certified.

FAQ

What is a RAG chatbot and how does it work?

A RAG (Retrieval-Augmented Generation) chatbot combines AI language capabilities with a document retrieval system. Unlike standard AI chatbots, RAG chatbots first search through your specific content (documents, websites, etc.) to find relevant information, then generate accurate responses based on that retrieved data. This approach ensures answers are grounded in your actual content rather than generic knowledge, eliminating hallucinations and providing source-attributed responses. Wonderchat's platform lets you build these powerful RAG chatbots without coding, simply by connecting your data sources.

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

Wonderchat's platform supports multiple file formats for training your RAG chatbot, including PDFs, DOCX, and TXT files. You can also train your chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform processes these varied sources to create a comprehensive knowledge base that your chatbot can reference when generating responses, ensuring accurate and relevant answers.

How accurate are RAG chatbots compared to traditional chatbots?

RAG chatbots significantly outperform traditional chatbots in terms of accuracy. By retrieving specific information from your verified content before generating responses, RAG chatbots provide answers that are directly sourced from your knowledge base, eliminating the hallucinations and fabricated information common in standard AI systems. With Wonderchat's platform, you can further improve accuracy through continuous learning and manual correction tools, ensuring your chatbot delivers only factual, verifiable information to your users.

Can I customize my RAG chatbot's appearance and behavior?

Yes, Wonderchat allows you to fully customize your RAG chatbot to match your brand identity. You can adjust the chat widget's appearance, including colors and logos, and tailor the conversational style to reflect your brand's voice. Beyond aesthetics, you can create specific workflows and conversation sequences to guide users through complex processes, ensuring the chatbot not only looks but also behaves according to your exact specifications.

How can a RAG chatbot help with lead generation?

Wonderchat's RAG chatbots go beyond answering questions by incorporating lead generation capabilities. You can set up custom workflows to qualify leads, collect contact information, and book meetings directly within the chat interface. These chatbots can engage website visitors proactively, ask qualifying questions based on their specific interests (using information retrieved from your knowledge base), and seamlessly integrate with your CRM to capture and nurture leads automatically.

What happens when the RAG chatbot can't answer a question?

When a Wonderchat RAG chatbot encounters a question it can't answer confidently, it can seamlessly escalate the conversation to human support. The platform offers multiple handover options, including email notifications, helpdesk ticket creation, or direct connection to a live chat agent. The chatbot can collect relevant information before the handover, ensuring your support team has the context they need. This hybrid approach ensures no customer query goes unanswered, combining AI efficiency with human expertise when needed.

FAQ

What is a RAG chatbot and how does it work?

A RAG (Retrieval-Augmented Generation) chatbot combines AI language capabilities with a document retrieval system. Unlike standard AI chatbots, RAG chatbots first search through your specific content (documents, websites, etc.) to find relevant information, then generate accurate responses based on that retrieved data. This approach ensures answers are grounded in your actual content rather than generic knowledge, eliminating hallucinations and providing source-attributed responses. Wonderchat's platform lets you build these powerful RAG chatbots without coding, simply by connecting your data sources.

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

Wonderchat's platform supports multiple file formats for training your RAG chatbot, including PDFs, DOCX, and TXT files. You can also train your chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform processes these varied sources to create a comprehensive knowledge base that your chatbot can reference when generating responses, ensuring accurate and relevant answers.

How accurate are RAG chatbots compared to traditional chatbots?

RAG chatbots significantly outperform traditional chatbots in terms of accuracy. By retrieving specific information from your verified content before generating responses, RAG chatbots provide answers that are directly sourced from your knowledge base, eliminating the hallucinations and fabricated information common in standard AI systems. With Wonderchat's platform, you can further improve accuracy through continuous learning and manual correction tools, ensuring your chatbot delivers only factual, verifiable information to your users.

Can I customize my RAG chatbot's appearance and behavior?

Yes, Wonderchat allows you to fully customize your RAG chatbot to match your brand identity. You can adjust the chat widget's appearance, including colors and logos, and tailor the conversational style to reflect your brand's voice. Beyond aesthetics, you can create specific workflows and conversation sequences to guide users through complex processes, ensuring the chatbot not only looks but also behaves according to your exact specifications.

How can a RAG chatbot help with lead generation?

Wonderchat's RAG chatbots go beyond answering questions by incorporating lead generation capabilities. You can set up custom workflows to qualify leads, collect contact information, and book meetings directly within the chat interface. These chatbots can engage website visitors proactively, ask qualifying questions based on their specific interests (using information retrieved from your knowledge base), and seamlessly integrate with your CRM to capture and nurture leads automatically.

What happens when the RAG chatbot can't answer a question?

When a Wonderchat RAG chatbot encounters a question it can't answer confidently, it can seamlessly escalate the conversation to human support. The platform offers multiple handover options, including email notifications, helpdesk ticket creation, or direct connection to a live chat agent. The chatbot can collect relevant information before the handover, ensuring your support team has the context they need. This hybrid approach ensures no customer query goes unanswered, combining AI efficiency with human expertise when needed.

FAQ

What is a RAG chatbot and how does it work?

A RAG (Retrieval-Augmented Generation) chatbot combines AI language capabilities with a document retrieval system. Unlike standard AI chatbots, RAG chatbots first search through your specific content (documents, websites, etc.) to find relevant information, then generate accurate responses based on that retrieved data. This approach ensures answers are grounded in your actual content rather than generic knowledge, eliminating hallucinations and providing source-attributed responses. Wonderchat's platform lets you build these powerful RAG chatbots without coding, simply by connecting your data sources.

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

Wonderchat's platform supports multiple file formats for training your RAG chatbot, including PDFs, DOCX, and TXT files. You can also train your chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform processes these varied sources to create a comprehensive knowledge base that your chatbot can reference when generating responses, ensuring accurate and relevant answers.

How accurate are RAG chatbots compared to traditional chatbots?

RAG chatbots significantly outperform traditional chatbots in terms of accuracy. By retrieving specific information from your verified content before generating responses, RAG chatbots provide answers that are directly sourced from your knowledge base, eliminating the hallucinations and fabricated information common in standard AI systems. With Wonderchat's platform, you can further improve accuracy through continuous learning and manual correction tools, ensuring your chatbot delivers only factual, verifiable information to your users.

Can I customize my RAG chatbot's appearance and behavior?

Yes, Wonderchat allows you to fully customize your RAG chatbot to match your brand identity. You can adjust the chat widget's appearance, including colors and logos, and tailor the conversational style to reflect your brand's voice. Beyond aesthetics, you can create specific workflows and conversation sequences to guide users through complex processes, ensuring the chatbot not only looks but also behaves according to your exact specifications.

How can a RAG chatbot help with lead generation?

Wonderchat's RAG chatbots go beyond answering questions by incorporating lead generation capabilities. You can set up custom workflows to qualify leads, collect contact information, and book meetings directly within the chat interface. These chatbots can engage website visitors proactively, ask qualifying questions based on their specific interests (using information retrieved from your knowledge base), and seamlessly integrate with your CRM to capture and nurture leads automatically.

What happens when the RAG chatbot can't answer a question?

When a Wonderchat RAG chatbot encounters a question it can't answer confidently, it can seamlessly escalate the conversation to human support. The platform offers multiple handover options, including email notifications, helpdesk ticket creation, or direct connection to a live chat agent. The chatbot can collect relevant information before the handover, ensuring your support team has the context they need. This hybrid approach ensures no customer query goes unanswered, combining AI efficiency with human expertise when needed.

40+ Languages

Starts at $0.02/message

Available 24/7

Start Building Your RAG Chatbot Today

Start for Free

Start for Free

Start for Free

View Demo

View Demo

View Demo

14-day free trial. No credit card required

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© 2025 Wonderchat Private Limited

The platform to build AI agents that feel human

Product

Pricing

Customers

Security Portal

Changelog

Roadmap

Resources

Blog

Documentation

Affiliates

Careers

Tools

Features

Legal

Terms of Service

Privacy Policy

Cookie Policy

Usage Policy

GDPR

Site

Back to Top

© 2025 Wonderchat Private Limited

The platform to build AI agents that feel human

Product

Pricing

Customers

Security Portal

Changelog

Roadmap

Resources

Blog

Documentation

Affiliates

Careers

Tools

Features

Legal

Terms of Service

Privacy Policy

Cookie Policy

Usage Policy

GDPR

Site

Back to Top

© 2025 Wonderchat Private Limited