Question Answering RAG Chatbot for Precise Data Retrieval

Build a no-code question answering RAG chatbot trained on your unique content. Get verifiable, source-attributed answers from your documents while eliminating AI hallucination.

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Trusted by businesses worldwide

Why RAG Chatbots Outperform Traditional AI

Traditional chatbots struggle with accuracy and context, often providing generic or incorrect information. Wonderchat's RAG (Retrieval-Augmented Generation) technology solves this by retrieving specific information from your knowledge base before generating responses. Our platform ingests your websites, documents, and files to create an intelligent knowledge foundation that delivers precise, source-verified answers. Whether handling complex legal documents, intricate policies, or technical specifications, you'll provide trustworthy responses while maintaining complete control over your AI's knowledge.

Emily

AI Agent

Wonderbot

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Easy 5 minute set-up

How Wonderchat Works

Powerful RAG Search Technology

Verifiable Answers with Source Attribution

Our advanced AI search engine ingests thousands of documents across your enterprise, transforming fragmented data into a unified knowledge base that delivers precise, source-attributed answers.

Eliminate AI hallucination

Source verification

Advanced indexing capabilities

Powerful RAG Search Technology

Verifiable Answers with Source Attribution

Our advanced AI search engine ingests thousands of documents across your enterprise, transforming fragmented data into a unified knowledge base that delivers precise, source-attributed answers.

Eliminate AI hallucination

Source verification

Advanced indexing capabilities

Powerful RAG Search Technology

Verifiable Answers with Source Attribution

Our advanced AI search engine ingests thousands of documents across your enterprise, transforming fragmented data into a unified knowledge base that delivers precise, source-attributed answers.

Eliminate AI hallucination

Source verification

Advanced indexing capabilities

Flexible Content Ingestion

Train AI on Your Specific Data

Rapidly build a RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Your AI immediately understands complex information specific to your domain.

Multiple file formats

Website crawling

Automatic updates

Flexible Content Ingestion

Train AI on Your Specific Data

Rapidly build a RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Your AI immediately understands complex information specific to your domain.

Multiple file formats

Website crawling

Automatic updates

Flexible Content Ingestion

Train AI on Your Specific Data

Rapidly build a RAG chatbot by uploading documents, crawling websites, or syncing with help desks. Your AI immediately understands complex information specific to your domain.

Multiple file formats

Website crawling

Automatic updates

Continuous Knowledge Refinement

Eliminate Hallucinations With Corrections

Ensure accuracy with our hallucination correction system. When the AI provides an inaccurate answer, administrators can correct it, training the system to avoid similar mistakes in the future.

Hallucination prevention

Accuracy improvement

Continuous learning

Continuous Knowledge Refinement

Eliminate Hallucinations With Corrections

Ensure accuracy with our hallucination correction system. When the AI provides an inaccurate answer, administrators can correct it, training the system to avoid similar mistakes in the future.

Hallucination prevention

Accuracy improvement

Continuous learning

Continuous Knowledge Refinement

Eliminate Hallucinations With Corrections

Ensure accuracy with our hallucination correction system. When the AI provides an inaccurate answer, administrators can correct it, training the system to avoid similar mistakes in the future.

Hallucination prevention

Accuracy improvement

Continuous learning

5-minute set up

Set Up Your RAG Chatbot in Minutes

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 Conversational Flows

Build sophisticated RAG-powered workflows that guide users through multi-step processes, from document analysis to complex policy interpretations, all while maintaining context and accuracy.

Multi-step conversations

Context retention

Conditional logic

Beyond Simple Q&A

Create Complex Conversational Flows

Build sophisticated RAG-powered workflows that guide users through multi-step processes, from document analysis to complex policy interpretations, all while maintaining context and accuracy.

Multi-step conversations

Context retention

Conditional logic

Beyond Simple Q&A

Create Complex Conversational Flows

Build sophisticated RAG-powered workflows that guide users through multi-step processes, from document analysis to complex policy interpretations, all while maintaining context and accuracy.

Multi-step conversations

Context retention

Conditional logic

Performance Insights

Track Query Patterns and Accuracy

Gain deep analytics on how users interact with your RAG chatbot. Identify knowledge gaps, track resolution rates, and continuously refine your content to improve performance.

Knowledge gap detection

Query pattern analysis

Resolution metrics

Performance Insights

Track Query Patterns and Accuracy

Gain deep analytics on how users interact with your RAG chatbot. Identify knowledge gaps, track resolution rates, and continuously refine your content to improve performance.

Knowledge gap detection

Query pattern analysis

Resolution metrics

Performance Insights

Track Query Patterns and Accuracy

Gain deep analytics on how users interact with your RAG chatbot. Identify knowledge gaps, track resolution rates, and continuously refine your content to improve performance.

Knowledge gap detection

Query pattern analysis

Resolution metrics

40+ Languages

Starts at $0.02/message

Available 24/7

Build Your Question Answering RAG Chatbot

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

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 differ from regular chatbots?

A RAG (Retrieval-Augmented Generation) chatbot combines the power of large language models with a retrieval system that pulls relevant information from your specific knowledge base before generating responses. Unlike regular chatbots that rely solely on their pre-trained knowledge, RAG chatbots can access and cite specific information from your documents, websites, and files. This approach significantly reduces hallucinations (making up information) and ensures answers are accurate, relevant to your unique context, and verifiable with source attribution.

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

Wonderchat's platform supports a wide variety of document formats including PDFs, Word documents (DOCX), text files (TXT), and more. You can also train your RAG chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform is designed to handle complex information across multiple sources simultaneously, allowing you to create a comprehensive knowledge base from diverse content types.

How does Wonderchat ensure my RAG chatbot provides accurate answers?

Wonderchat ensures accuracy through several mechanisms: 1. Source attribution - every answer includes references to the original source 2. Hallucination correction - administrators can fix incorrect answers to train the system 3. Continuous learning - the system improves from real interactions 4. Automatic re-crawling - keeps information up-to-date with the latest content These features work together to create a RAG chatbot that delivers precise, verifiable information rather than generating potentially inaccurate responses.

Can I customize the appearance and behavior of my RAG chatbot?

Yes, Wonderchat offers extensive customization options for your RAG chatbot. You can tailor the appearance to match your brand with custom colors, logos, and chat widget styling. Beyond aesthetics, you can also customize the chatbot's behavior, including greeting messages, conversation flows, and response styles. Additionally, you can select from various AI models like OpenAI, Claude, Gemini, and Mistral with no lock-in, giving you flexibility in how your chatbot processes and generates responses.

How does the human handover process work with RAG chatbots?

When your RAG chatbot encounters questions it can't answer or when users specifically request human assistance, Wonderchat offers several handover options: 1. Email escalation - collect user information and route to support email 2. Helpdesk ticket creation - automatically create tickets in systems like Zendesk/Freshdesk 3. Built-in live chat - enable human agents to take over conversations directly 4. Smart routing - direct queries to specific departments based on topic This ensures complex issues are always addressed appropriately while maintaining a seamless user experience.

What analytics do I get about my RAG chatbot's performance?

Wonderchat provides comprehensive analytics on your RAG chatbot's performance, including: - Popular queries and topics users are asking about - Resolution rates showing how effectively queries are answered - Knowledge gaps identifying where your content needs improvement - User satisfaction metrics and feedback - Conversation flow analysis These insights help you continuously optimize both your chatbot's performance and your underlying knowledge base for maximum accuracy and effectiveness.

FAQ

What is a RAG chatbot and how does it differ from regular chatbots?

A RAG (Retrieval-Augmented Generation) chatbot combines the power of large language models with a retrieval system that pulls relevant information from your specific knowledge base before generating responses. Unlike regular chatbots that rely solely on their pre-trained knowledge, RAG chatbots can access and cite specific information from your documents, websites, and files. This approach significantly reduces hallucinations (making up information) and ensures answers are accurate, relevant to your unique context, and verifiable with source attribution.

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

Wonderchat's platform supports a wide variety of document formats including PDFs, Word documents (DOCX), text files (TXT), and more. You can also train your RAG chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform is designed to handle complex information across multiple sources simultaneously, allowing you to create a comprehensive knowledge base from diverse content types.

How does Wonderchat ensure my RAG chatbot provides accurate answers?

Wonderchat ensures accuracy through several mechanisms: 1. Source attribution - every answer includes references to the original source 2. Hallucination correction - administrators can fix incorrect answers to train the system 3. Continuous learning - the system improves from real interactions 4. Automatic re-crawling - keeps information up-to-date with the latest content These features work together to create a RAG chatbot that delivers precise, verifiable information rather than generating potentially inaccurate responses.

Can I customize the appearance and behavior of my RAG chatbot?

Yes, Wonderchat offers extensive customization options for your RAG chatbot. You can tailor the appearance to match your brand with custom colors, logos, and chat widget styling. Beyond aesthetics, you can also customize the chatbot's behavior, including greeting messages, conversation flows, and response styles. Additionally, you can select from various AI models like OpenAI, Claude, Gemini, and Mistral with no lock-in, giving you flexibility in how your chatbot processes and generates responses.

How does the human handover process work with RAG chatbots?

When your RAG chatbot encounters questions it can't answer or when users specifically request human assistance, Wonderchat offers several handover options: 1. Email escalation - collect user information and route to support email 2. Helpdesk ticket creation - automatically create tickets in systems like Zendesk/Freshdesk 3. Built-in live chat - enable human agents to take over conversations directly 4. Smart routing - direct queries to specific departments based on topic This ensures complex issues are always addressed appropriately while maintaining a seamless user experience.

What analytics do I get about my RAG chatbot's performance?

Wonderchat provides comprehensive analytics on your RAG chatbot's performance, including: - Popular queries and topics users are asking about - Resolution rates showing how effectively queries are answered - Knowledge gaps identifying where your content needs improvement - User satisfaction metrics and feedback - Conversation flow analysis These insights help you continuously optimize both your chatbot's performance and your underlying knowledge base for maximum accuracy and effectiveness.

FAQ

What is a RAG chatbot and how does it differ from regular chatbots?

A RAG (Retrieval-Augmented Generation) chatbot combines the power of large language models with a retrieval system that pulls relevant information from your specific knowledge base before generating responses. Unlike regular chatbots that rely solely on their pre-trained knowledge, RAG chatbots can access and cite specific information from your documents, websites, and files. This approach significantly reduces hallucinations (making up information) and ensures answers are accurate, relevant to your unique context, and verifiable with source attribution.

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

Wonderchat's platform supports a wide variety of document formats including PDFs, Word documents (DOCX), text files (TXT), and more. You can also train your RAG chatbot by crawling websites and syncing with help desk systems like Zendesk. The platform is designed to handle complex information across multiple sources simultaneously, allowing you to create a comprehensive knowledge base from diverse content types.

How does Wonderchat ensure my RAG chatbot provides accurate answers?

Wonderchat ensures accuracy through several mechanisms: 1. Source attribution - every answer includes references to the original source 2. Hallucination correction - administrators can fix incorrect answers to train the system 3. Continuous learning - the system improves from real interactions 4. Automatic re-crawling - keeps information up-to-date with the latest content These features work together to create a RAG chatbot that delivers precise, verifiable information rather than generating potentially inaccurate responses.

Can I customize the appearance and behavior of my RAG chatbot?

Yes, Wonderchat offers extensive customization options for your RAG chatbot. You can tailor the appearance to match your brand with custom colors, logos, and chat widget styling. Beyond aesthetics, you can also customize the chatbot's behavior, including greeting messages, conversation flows, and response styles. Additionally, you can select from various AI models like OpenAI, Claude, Gemini, and Mistral with no lock-in, giving you flexibility in how your chatbot processes and generates responses.

How does the human handover process work with RAG chatbots?

When your RAG chatbot encounters questions it can't answer or when users specifically request human assistance, Wonderchat offers several handover options: 1. Email escalation - collect user information and route to support email 2. Helpdesk ticket creation - automatically create tickets in systems like Zendesk/Freshdesk 3. Built-in live chat - enable human agents to take over conversations directly 4. Smart routing - direct queries to specific departments based on topic This ensures complex issues are always addressed appropriately while maintaining a seamless user experience.

What analytics do I get about my RAG chatbot's performance?

Wonderchat provides comprehensive analytics on your RAG chatbot's performance, including: - Popular queries and topics users are asking about - Resolution rates showing how effectively queries are answered - Knowledge gaps identifying where your content needs improvement - User satisfaction metrics and feedback - Conversation flow analysis These insights help you continuously optimize both your chatbot's performance and your underlying knowledge base for maximum accuracy and effectiveness.

40+ Languages

Starts at $0.02/message

Available 24/7

Build Your Question Answering RAG Chatbot

Start for Free

Start for Free

Start for Free

View Demo

View Demo

View Demo

14-day free trial. No credit card required

The platform to build AI agents that feel human

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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