Create Custom RAG AI Agents in Minutes

Build powerful, verifiable AI chatbots using RAG without coding. Train on your documents, websites, and files to deliver accurate, source-attributed answers that eliminate hallucinations.

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Trusted by businesses worldwide

Why RAG Makes AI Agents Trustworthy

Traditional AI chatbots often hallucinate information, creating compliance risks and damaging customer trust. Wonderchat's RAG-powered platform solves this by ensuring every AI response is verifiable and traced to original sources. Our no-code solution lets you build custom AI agents in minutes that access your specific knowledge base - websites, documents, and help desks. This creates a unified intelligence layer that delivers instant, accurate answers while maintaining full compliance with industry regulations.

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Easy 5 minute set-up

How Wonderchat Works

Build RAG Agents in Minutes

Train AI on Your Unique Data

Quickly feed your websites, documents, and help desk articles into Wonderchat to create custom RAG AI agents that deliver accurate, source-attributed answers based on your specific content.

No coding required

Multiple data sources

Deploy in minutes

Build RAG Agents in Minutes

Train AI on Your Unique Data

Quickly feed your websites, documents, and help desk articles into Wonderchat to create custom RAG AI agents that deliver accurate, source-attributed answers based on your specific content.

No coding required

Multiple data sources

Deploy in minutes

Build RAG Agents in Minutes

Train AI on Your Unique Data

Quickly feed your websites, documents, and help desk articles into Wonderchat to create custom RAG AI agents that deliver accurate, source-attributed answers based on your specific content.

No coding required

Multiple data sources

Deploy in minutes

Trustworthy RAG Responses

Eliminate AI Hallucinations

Wonderchat's RAG implementation ensures every AI answer is verifiable with source attribution. Administrators can correct any inaccuracies, training the AI to avoid similar mistakes in the future.

Source-attributed answers

Continuous learning

Manual correction capability

Trustworthy RAG Responses

Eliminate AI Hallucinations

Wonderchat's RAG implementation ensures every AI answer is verifiable with source attribution. Administrators can correct any inaccuracies, training the AI to avoid similar mistakes in the future.

Source-attributed answers

Continuous learning

Manual correction capability

Trustworthy RAG Responses

Eliminate AI Hallucinations

Wonderchat's RAG implementation ensures every AI answer is verifiable with source attribution. Administrators can correct any inaccuracies, training the AI to avoid similar mistakes in the future.

Source-attributed answers

Continuous learning

Manual correction capability

RAG-Powered Automation

Create Custom AI Agent Workflows

Design multi-step conversational flows that leverage your knowledge base to guide users through complex processes, from lead qualification to support issue resolution, all with verifiable accuracy.

Custom conversation sequences

Conditional logic paths

Guided user interactions

RAG-Powered Automation

Create Custom AI Agent Workflows

Design multi-step conversational flows that leverage your knowledge base to guide users through complex processes, from lead qualification to support issue resolution, all with verifiable accuracy.

Custom conversation sequences

Conditional logic paths

Guided user interactions

RAG-Powered Automation

Create Custom AI Agent Workflows

Design multi-step conversational flows that leverage your knowledge base to guide users through complex processes, from lead qualification to support issue resolution, all with verifiable accuracy.

Custom conversation sequences

Conditional logic paths

Guided user interactions

5-minute set up

Create Your RAG AI Agent 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.

Advanced RAG Implementation

Comprehensive Knowledge Retrieval

Wonderchat's powerful crawling capability indexes vast amounts of content from your websites, documents, and systems, ensuring your AI agent can find and verify information regardless of where it resides.

Unlimited websites

Multiple file formats

Automatic re-crawling

Advanced RAG Implementation

Comprehensive Knowledge Retrieval

Wonderchat's powerful crawling capability indexes vast amounts of content from your websites, documents, and systems, ensuring your AI agent can find and verify information regardless of where it resides.

Unlimited websites

Multiple file formats

Automatic re-crawling

Advanced RAG Implementation

Comprehensive Knowledge Retrieval

Wonderchat's powerful crawling capability indexes vast amounts of content from your websites, documents, and systems, ensuring your AI agent can find and verify information regardless of where it resides.

Unlimited websites

Multiple file formats

Automatic re-crawling

RAG Agents for Sales

Generate Qualified Leads Automatically

Transform your knowledgeable AI agent into a lead generation tool that collects contact information, qualifies prospects based on accurate information, and integrates with your CRM and scheduling systems.

CRM integration

Meeting scheduling

Qualification workflows

RAG Agents for Sales

Generate Qualified Leads Automatically

Transform your knowledgeable AI agent into a lead generation tool that collects contact information, qualifies prospects based on accurate information, and integrates with your CRM and scheduling systems.

CRM integration

Meeting scheduling

Qualification workflows

RAG Agents for Sales

Generate Qualified Leads Automatically

Transform your knowledgeable AI agent into a lead generation tool that collects contact information, qualifies prospects based on accurate information, and integrates with your CRM and scheduling systems.

CRM integration

Meeting scheduling

Qualification workflows

40+ Languages

Starts at $0.02/message

Available 24/7

Build Your RAG AI Agent 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

Schedule a Call

View Customer Stories

View Customer Stories

View Customer Stories

Industry Grade Compliance

Wonderchat is GDPR compliant and AICPA SOC 2 Certified.

FAQ

What is RAG and why is it important for AI agents?

RAG (Retrieval-Augmented Generation) is a technique that enhances AI responses by first retrieving relevant information from your knowledge base, then generating answers based on that specific data. This is crucial because it ensures your AI agent provides accurate, verifiable responses rather than potentially hallucinating incorrect information. With Wonderchat's RAG implementation, every answer includes source attribution, eliminating AI hallucination and building trust with users. This is especially valuable for regulated industries or any organization where information accuracy is critical.

How long does it take to build a custom AI agent with Wonderchat?

You can create and deploy a fully functional AI agent in under 5 minutes using Wonderchat's no-code platform. The process is simple: connect your data sources (websites, documents, help desks), customize your chatbot's appearance and behavior, and deploy it across your desired channels. The platform handles all the complex RAG implementation behind the scenes, so you don't need any technical expertise to build a sophisticated AI agent that delivers accurate, sourced information.

What types of data can I train my RAG AI agent on?

Wonderchat's platform allows you to train your AI agent on multiple data sources simultaneously: - Documents: Upload PDFs, DOCX, TXT files directly - Websites: Crawl entire websites or specific pages - Help desk content: Sync with systems like Zendesk The platform automatically processes and indexes this information, creating a comprehensive knowledge base that your AI agent can reference for accurate answers. You can continuously update this knowledge through automatic or manual re-crawling options to keep your AI current with your latest content.

How does Wonderchat ensure AI agent responses are accurate?

Wonderchat ensures accuracy through its RAG (Retrieval-Augmented Generation) implementation, which retrieves relevant information from your knowledge base before generating responses. This means answers are always based on your actual content, not the AI's general knowledge. Additionally, Wonderchat provides: - Source attribution for every response, so users can verify information - Hallucination correction capabilities to improve responses over time - Continuous learning from user interactions - Automatic re-crawling to keep information current These features work together to deliver precise, verifiable answers that users can trust.

Can I customize my RAG AI agent's workflow for lead generation?

Yes, Wonderchat allows you to create custom workflows that transform your RAG AI agent into a powerful lead generation tool. You can design conversation sequences that qualify leads by asking preset questions, collect contact information, and even book meetings through Calendly integration. These workflows can be triggered based on specific user behaviors or questions, ensuring leads are engaged at the optimal moment. All lead information can be automatically synced to your CRM systems like HubSpot, streamlining your sales process while maintaining the accuracy benefits of RAG technology.

What happens when my RAG AI agent can't answer a question?

When your AI agent encounters a question it can't confidently answer based on your knowledge base, Wonderchat offers seamless human handoff options to ensure no customer query goes unresolved: - Email escalation to your support team - Ticket creation in help desk systems like Zendesk or Freshdesk - Live chat takeover through Wonderchat's built-in interface The system can be configured to trigger handovers based on specific conditions, such as multiple failed response attempts or explicit user requests for human assistance. This creates a smooth hybrid support experience that combines AI efficiency with human expertise.

FAQ

What is RAG and why is it important for AI agents?

RAG (Retrieval-Augmented Generation) is a technique that enhances AI responses by first retrieving relevant information from your knowledge base, then generating answers based on that specific data. This is crucial because it ensures your AI agent provides accurate, verifiable responses rather than potentially hallucinating incorrect information. With Wonderchat's RAG implementation, every answer includes source attribution, eliminating AI hallucination and building trust with users. This is especially valuable for regulated industries or any organization where information accuracy is critical.

How long does it take to build a custom AI agent with Wonderchat?

You can create and deploy a fully functional AI agent in under 5 minutes using Wonderchat's no-code platform. The process is simple: connect your data sources (websites, documents, help desks), customize your chatbot's appearance and behavior, and deploy it across your desired channels. The platform handles all the complex RAG implementation behind the scenes, so you don't need any technical expertise to build a sophisticated AI agent that delivers accurate, sourced information.

What types of data can I train my RAG AI agent on?

Wonderchat's platform allows you to train your AI agent on multiple data sources simultaneously: - Documents: Upload PDFs, DOCX, TXT files directly - Websites: Crawl entire websites or specific pages - Help desk content: Sync with systems like Zendesk The platform automatically processes and indexes this information, creating a comprehensive knowledge base that your AI agent can reference for accurate answers. You can continuously update this knowledge through automatic or manual re-crawling options to keep your AI current with your latest content.

How does Wonderchat ensure AI agent responses are accurate?

Wonderchat ensures accuracy through its RAG (Retrieval-Augmented Generation) implementation, which retrieves relevant information from your knowledge base before generating responses. This means answers are always based on your actual content, not the AI's general knowledge. Additionally, Wonderchat provides: - Source attribution for every response, so users can verify information - Hallucination correction capabilities to improve responses over time - Continuous learning from user interactions - Automatic re-crawling to keep information current These features work together to deliver precise, verifiable answers that users can trust.

Can I customize my RAG AI agent's workflow for lead generation?

Yes, Wonderchat allows you to create custom workflows that transform your RAG AI agent into a powerful lead generation tool. You can design conversation sequences that qualify leads by asking preset questions, collect contact information, and even book meetings through Calendly integration. These workflows can be triggered based on specific user behaviors or questions, ensuring leads are engaged at the optimal moment. All lead information can be automatically synced to your CRM systems like HubSpot, streamlining your sales process while maintaining the accuracy benefits of RAG technology.

What happens when my RAG AI agent can't answer a question?

When your AI agent encounters a question it can't confidently answer based on your knowledge base, Wonderchat offers seamless human handoff options to ensure no customer query goes unresolved: - Email escalation to your support team - Ticket creation in help desk systems like Zendesk or Freshdesk - Live chat takeover through Wonderchat's built-in interface The system can be configured to trigger handovers based on specific conditions, such as multiple failed response attempts or explicit user requests for human assistance. This creates a smooth hybrid support experience that combines AI efficiency with human expertise.

FAQ

What is RAG and why is it important for AI agents?

RAG (Retrieval-Augmented Generation) is a technique that enhances AI responses by first retrieving relevant information from your knowledge base, then generating answers based on that specific data. This is crucial because it ensures your AI agent provides accurate, verifiable responses rather than potentially hallucinating incorrect information. With Wonderchat's RAG implementation, every answer includes source attribution, eliminating AI hallucination and building trust with users. This is especially valuable for regulated industries or any organization where information accuracy is critical.

How long does it take to build a custom AI agent with Wonderchat?

You can create and deploy a fully functional AI agent in under 5 minutes using Wonderchat's no-code platform. The process is simple: connect your data sources (websites, documents, help desks), customize your chatbot's appearance and behavior, and deploy it across your desired channels. The platform handles all the complex RAG implementation behind the scenes, so you don't need any technical expertise to build a sophisticated AI agent that delivers accurate, sourced information.

What types of data can I train my RAG AI agent on?

Wonderchat's platform allows you to train your AI agent on multiple data sources simultaneously: - Documents: Upload PDFs, DOCX, TXT files directly - Websites: Crawl entire websites or specific pages - Help desk content: Sync with systems like Zendesk The platform automatically processes and indexes this information, creating a comprehensive knowledge base that your AI agent can reference for accurate answers. You can continuously update this knowledge through automatic or manual re-crawling options to keep your AI current with your latest content.

How does Wonderchat ensure AI agent responses are accurate?

Wonderchat ensures accuracy through its RAG (Retrieval-Augmented Generation) implementation, which retrieves relevant information from your knowledge base before generating responses. This means answers are always based on your actual content, not the AI's general knowledge. Additionally, Wonderchat provides: - Source attribution for every response, so users can verify information - Hallucination correction capabilities to improve responses over time - Continuous learning from user interactions - Automatic re-crawling to keep information current These features work together to deliver precise, verifiable answers that users can trust.

Can I customize my RAG AI agent's workflow for lead generation?

Yes, Wonderchat allows you to create custom workflows that transform your RAG AI agent into a powerful lead generation tool. You can design conversation sequences that qualify leads by asking preset questions, collect contact information, and even book meetings through Calendly integration. These workflows can be triggered based on specific user behaviors or questions, ensuring leads are engaged at the optimal moment. All lead information can be automatically synced to your CRM systems like HubSpot, streamlining your sales process while maintaining the accuracy benefits of RAG technology.

What happens when my RAG AI agent can't answer a question?

When your AI agent encounters a question it can't confidently answer based on your knowledge base, Wonderchat offers seamless human handoff options to ensure no customer query goes unresolved: - Email escalation to your support team - Ticket creation in help desk systems like Zendesk or Freshdesk - Live chat takeover through Wonderchat's built-in interface The system can be configured to trigger handovers based on specific conditions, such as multiple failed response attempts or explicit user requests for human assistance. This creates a smooth hybrid support experience that combines AI efficiency with human expertise.

40+ Languages

Starts at $0.02/message

Available 24/7

Build Your RAG AI Agent Today

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