Chatbot with RAG: Accurate, Verifiable Answers Instantly

Deploy a powerful chatbot with RAG technology that delivers source-attributed answers from your data. Eliminate AI hallucinations while providing 24/7 customer service using Wonderchat's no-code platform.

Trusted by businesses worldwide

Why RAG Chatbots Outperform Traditional AI

Traditional chatbots often struggle with accuracy, providing made-up or outdated information that damages customer trust. Wonderchat's RAG (Retrieval-Augmented Generation) technology solves this by retrieving verified information from your documents, websites, and knowledge bases. Our platform enables you to build intelligent chatbots that provide accurate, source-attributed answers while maintaining natural conversation flow. With continuous learning capabilities and powerful analytics, your RAG chatbot becomes more effective over time, handling complex queries across unlimited data sources.

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Wonderbot

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Easy 5 minute set-up

How Wonderchat Works

Build Knowledge-Rich RAG Chatbots

Train AI on Your Specific Data Sources

Create powerful RAG chatbots by importing your unique content from websites, documents, and help desks. Wonderchat's platform processes this data to deliver accurate, source-attributed answers that eliminate hallucinations.

Website crawling capabilities

Multiple file format support

Help desk integration

Build Knowledge-Rich RAG Chatbots

Train AI on Your Specific Data Sources

Create powerful RAG chatbots by importing your unique content from websites, documents, and help desks. Wonderchat's platform processes this data to deliver accurate, source-attributed answers that eliminate hallucinations.

Website crawling capabilities

Multiple file format support

Help desk integration

Build Knowledge-Rich RAG Chatbots

Train AI on Your Specific Data Sources

Create powerful RAG chatbots by importing your unique content from websites, documents, and help desks. Wonderchat's platform processes this data to deliver accurate, source-attributed answers that eliminate hallucinations.

Website crawling capabilities

Multiple file format support

Help desk integration

Comprehensive Data Retrieval

Advanced RAG Search Across All Content

Our RAG technology indexes and searches your entire knowledge base, from website content to documents and product information. This ensures your chatbot delivers precise, relevant answers with clear source attribution.

Full website indexing

Document semantic search

Source-attributed answers

Comprehensive Data Retrieval

Advanced RAG Search Across All Content

Our RAG technology indexes and searches your entire knowledge base, from website content to documents and product information. This ensures your chatbot delivers precise, relevant answers with clear source attribution.

Full website indexing

Document semantic search

Source-attributed answers

Comprehensive Data Retrieval

Advanced RAG Search Across All Content

Our RAG technology indexes and searches your entire knowledge base, from website content to documents and product information. This ensures your chatbot delivers precise, relevant answers with clear source attribution.

Full website indexing

Document semantic search

Source-attributed answers

Eliminate AI Hallucinations

Continuous Learning & Accuracy Improvement

Wonderchat's RAG system continuously improves through real interactions. Easily correct any inaccuracies, train the AI to avoid similar mistakes, and maintain verifiable information retrieval that users can trust.

Error detection tools

One-click corrections

Accuracy tracking analytics

Eliminate AI Hallucinations

Continuous Learning & Accuracy Improvement

Wonderchat's RAG system continuously improves through real interactions. Easily correct any inaccuracies, train the AI to avoid similar mistakes, and maintain verifiable information retrieval that users can trust.

Error detection tools

One-click corrections

Accuracy tracking analytics

Eliminate AI Hallucinations

Continuous Learning & Accuracy Improvement

Wonderchat's RAG system continuously improves through real interactions. Easily correct any inaccuracies, train the AI to avoid similar mistakes, and maintain verifiable information retrieval that users can trust.

Error detection tools

One-click corrections

Accuracy tracking analytics

5-minute set up

Deploy Your 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.

Beyond Simple Question-Answering

Intelligent RAG Workflows for Complex Tasks

Enhance your RAG chatbot with structured conversational flows that guide users through complex processes. Combine accurate information retrieval with automated sequences for lead qualification, appointments, and more.

Multi-step conversation flows

Conditional logic paths

Process automation tools

Beyond Simple Question-Answering

Intelligent RAG Workflows for Complex Tasks

Enhance your RAG chatbot with structured conversational flows that guide users through complex processes. Combine accurate information retrieval with automated sequences for lead qualification, appointments, and more.

Multi-step conversation flows

Conditional logic paths

Process automation tools

Beyond Simple Question-Answering

Intelligent RAG Workflows for Complex Tasks

Enhance your RAG chatbot with structured conversational flows that guide users through complex processes. Combine accurate information retrieval with automated sequences for lead qualification, appointments, and more.

Multi-step conversation flows

Conditional logic paths

Process automation tools

Measure RAG Performance

Actionable Analytics Dashboard

Gain valuable insights into your RAG chatbot's performance with comprehensive analytics. Track query resolution rates, identify knowledge gaps, and continuously optimize your information retrieval system for better results.

Knowledge gap identification

Resolution rate tracking

User interaction insights

Measure RAG Performance

Actionable Analytics Dashboard

Gain valuable insights into your RAG chatbot's performance with comprehensive analytics. Track query resolution rates, identify knowledge gaps, and continuously optimize your information retrieval system for better results.

Knowledge gap identification

Resolution rate tracking

User interaction insights

Measure RAG Performance

Actionable Analytics Dashboard

Gain valuable insights into your RAG chatbot's performance with comprehensive analytics. Track query resolution rates, identify knowledge gaps, and continuously optimize your information retrieval system for better results.

Knowledge gap identification

Resolution rate tracking

User interaction insights

40+ Languages

Starts at $0.02/message

Available 24/7

Build 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 RAG chatbot?

A RAG (Retrieval-Augmented Generation) chatbot combines the conversational abilities of AI with precise information retrieval from your specific knowledge sources. Unlike traditional chatbots that rely solely on pre-trained knowledge, Wonderchat's RAG technology actively searches through your documents, websites, and files to find and cite accurate information when responding to user queries.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat prevents AI hallucinations by retrieving verified information directly from your trusted sources rather than generating answers from general AI knowledge. Every response is anchored to specific content from your knowledge base with clear source attribution. When the AI is uncertain, it can be configured to acknowledge limitations rather than providing potentially incorrect information, and our correction feature allows you to continuously improve accuracy over time.

What data sources can I connect to my RAG chatbot?

Wonderchat's RAG chatbot can connect to multiple data sources simultaneously, including: - Websites and subdomains through our crawling capabilities - Document files (PDF, DOCX, TXT) via direct upload - Help desk systems like Zendesk - CRM systems - Internal knowledge bases You can combine these sources to create a comprehensive knowledge foundation, and our platform supports automatic re-crawling to keep information current.

How long does it take to set up a RAG chatbot with Wonderchat?

You can deploy a fully functional RAG chatbot with Wonderchat in under 5 minutes using our no-code platform. The process involves connecting your knowledge sources (websites, documents, help desks), customizing your chatbot's appearance and behavior, and embedding it on your site. For larger enterprises with complex data needs, our team provides additional support for comprehensive implementation.

How does a RAG chatbot improve customer support?

A RAG chatbot dramatically improves customer support by providing instant, accurate answers 24/7, reducing wait times and support ticket volume. Wonderchat customers typically see up to 70% deflection of common support queries. When the chatbot encounters complex issues, it can seamlessly escalate to human agents with full conversation context. The system continuously learns from interactions, becoming more effective over time while providing valuable analytics on customer needs.

Can I integrate my RAG chatbot with existing business tools?

Yes, Wonderchat offers extensive integration capabilities for your RAG chatbot. Connect natively with platforms like HubSpot, Zendesk, Shopify, Slack, Discord, and Google Drive. For other applications, use our Zapier integration to connect with thousands of tools. We also provide a REST API and JavaScript SDK for custom implementations, allowing your RAG chatbot to work seamlessly within your existing tech stack.

FAQ

What is a RAG chatbot?

A RAG (Retrieval-Augmented Generation) chatbot combines the conversational abilities of AI with precise information retrieval from your specific knowledge sources. Unlike traditional chatbots that rely solely on pre-trained knowledge, Wonderchat's RAG technology actively searches through your documents, websites, and files to find and cite accurate information when responding to user queries.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat prevents AI hallucinations by retrieving verified information directly from your trusted sources rather than generating answers from general AI knowledge. Every response is anchored to specific content from your knowledge base with clear source attribution. When the AI is uncertain, it can be configured to acknowledge limitations rather than providing potentially incorrect information, and our correction feature allows you to continuously improve accuracy over time.

What data sources can I connect to my RAG chatbot?

Wonderchat's RAG chatbot can connect to multiple data sources simultaneously, including: - Websites and subdomains through our crawling capabilities - Document files (PDF, DOCX, TXT) via direct upload - Help desk systems like Zendesk - CRM systems - Internal knowledge bases You can combine these sources to create a comprehensive knowledge foundation, and our platform supports automatic re-crawling to keep information current.

How long does it take to set up a RAG chatbot with Wonderchat?

You can deploy a fully functional RAG chatbot with Wonderchat in under 5 minutes using our no-code platform. The process involves connecting your knowledge sources (websites, documents, help desks), customizing your chatbot's appearance and behavior, and embedding it on your site. For larger enterprises with complex data needs, our team provides additional support for comprehensive implementation.

How does a RAG chatbot improve customer support?

A RAG chatbot dramatically improves customer support by providing instant, accurate answers 24/7, reducing wait times and support ticket volume. Wonderchat customers typically see up to 70% deflection of common support queries. When the chatbot encounters complex issues, it can seamlessly escalate to human agents with full conversation context. The system continuously learns from interactions, becoming more effective over time while providing valuable analytics on customer needs.

Can I integrate my RAG chatbot with existing business tools?

Yes, Wonderchat offers extensive integration capabilities for your RAG chatbot. Connect natively with platforms like HubSpot, Zendesk, Shopify, Slack, Discord, and Google Drive. For other applications, use our Zapier integration to connect with thousands of tools. We also provide a REST API and JavaScript SDK for custom implementations, allowing your RAG chatbot to work seamlessly within your existing tech stack.

FAQ

What is a RAG chatbot?

A RAG (Retrieval-Augmented Generation) chatbot combines the conversational abilities of AI with precise information retrieval from your specific knowledge sources. Unlike traditional chatbots that rely solely on pre-trained knowledge, Wonderchat's RAG technology actively searches through your documents, websites, and files to find and cite accurate information when responding to user queries.

How does Wonderchat's RAG technology prevent AI hallucinations?

Wonderchat prevents AI hallucinations by retrieving verified information directly from your trusted sources rather than generating answers from general AI knowledge. Every response is anchored to specific content from your knowledge base with clear source attribution. When the AI is uncertain, it can be configured to acknowledge limitations rather than providing potentially incorrect information, and our correction feature allows you to continuously improve accuracy over time.

What data sources can I connect to my RAG chatbot?

Wonderchat's RAG chatbot can connect to multiple data sources simultaneously, including: - Websites and subdomains through our crawling capabilities - Document files (PDF, DOCX, TXT) via direct upload - Help desk systems like Zendesk - CRM systems - Internal knowledge bases You can combine these sources to create a comprehensive knowledge foundation, and our platform supports automatic re-crawling to keep information current.

How long does it take to set up a RAG chatbot with Wonderchat?

You can deploy a fully functional RAG chatbot with Wonderchat in under 5 minutes using our no-code platform. The process involves connecting your knowledge sources (websites, documents, help desks), customizing your chatbot's appearance and behavior, and embedding it on your site. For larger enterprises with complex data needs, our team provides additional support for comprehensive implementation.

How does a RAG chatbot improve customer support?

A RAG chatbot dramatically improves customer support by providing instant, accurate answers 24/7, reducing wait times and support ticket volume. Wonderchat customers typically see up to 70% deflection of common support queries. When the chatbot encounters complex issues, it can seamlessly escalate to human agents with full conversation context. The system continuously learns from interactions, becoming more effective over time while providing valuable analytics on customer needs.

Can I integrate my RAG chatbot with existing business tools?

Yes, Wonderchat offers extensive integration capabilities for your RAG chatbot. Connect natively with platforms like HubSpot, Zendesk, Shopify, Slack, Discord, and Google Drive. For other applications, use our Zapier integration to connect with thousands of tools. We also provide a REST API and JavaScript SDK for custom implementations, allowing your RAG chatbot to work seamlessly within your existing tech stack.

40+ Languages

Starts at $0.02/message

Available 24/7

Build Your RAG Chatbot Today

The platform to build AI agents that feel human

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