RAG Chatbots

Advanced Chatbots with Retrieval-Augmented Generation Capabilities

Our RAG (Retrieval-Augmented Generation) chatbots represent the next evolution in conversational AI. These sophisticated systems combine the power of large language models with your specific business knowledge base, allowing them to provide accurate, contextual responses based on your proprietary information, documentation, and policies. Unlike standard chatbots, our RAG solutions can search through vast repositories of your content in real-time, extracting relevant information and synthesising coherent, helpful responses. This technology is particularly valuable for complex industries where accuracy is paramount, such as finance, healthcare, legal services, and technical support. Your customers receive precise answers grounded in your specific business context, dramatically improving satisfaction and trust.

Key Benefits

  • Real-time knowledge base integration with instant information retrieval
  • Contextual and accurate responses based on your specific business data
  • Industry-specific expertise with domain-focused training
  • Proprietary information handling with secure data processing
  • Continuous learning capabilities that improve over time
  • Enhanced customer satisfaction through precise, helpful answers
  • Reduced support costs by automating complex inquiries

Key Features

Knowledge Retrieval

Instant access to your complete knowledge base, documents, and proprietary information

Secure Processing

Enterprise-grade security for handling sensitive business information and customer data

Contextual Understanding

Deep comprehension of context to provide relevant, accurate responses

Real-time Updates

Automatically incorporates new information as your knowledge base grows

Implementation Process

01

Knowledge Base Analysis

1-2 weeks

Analyze and structure your existing documentation, policies, and knowledge repositories.

02

RAG System Setup

2-3 weeks

Configure the retrieval system and train the AI on your specific business context and terminology.

03

Integration & Testing

1-2 weeks

Integrate with your existing systems and conduct thorough testing with real-world scenarios.

04

Deployment & Monitoring

Ongoing

Full deployment with continuous monitoring and refinement based on user interactions.

Pricing Plans

starter

£3,497
one-time setup + £197/month
  • Up to 10GB knowledge base
  • 1,000 queries/month
  • Basic document integration
  • Email support
  • Standard security protocols
Most Popular

professional

£6,997
one-time setup + £297/month
  • Up to 100GB knowledge base
  • 10,000 queries/month
  • Advanced document processing
  • Priority support & training
  • Enhanced security & compliance
  • Custom integrations
  • Advanced analytics

enterprise

Custom
Contact for pricing
  • Unlimited knowledge base
  • Unlimited queries
  • Custom AI model training
  • Dedicated success manager
  • Full compliance suite
  • White-label deployment
  • Multi-language support

Frequently Asked Questions

What types of documents can the RAG system process?

Our RAG system can process PDFs, Word documents, web pages, databases, wikis, help articles, policy documents, and structured data. We support text, tables, and can extract information from images within documents.

How accurate are the responses compared to human support?

Our RAG chatbots achieve 90-95% accuracy for questions within their knowledge base, often exceeding human consistency. For complex queries outside the knowledge base, they intelligently escalate to human agents.

Can the system handle industry-specific terminology and compliance requirements?

Yes, we specialize in industry-specific implementations including healthcare (HIPAA), finance (SOX, PCI-DSS), legal, and other regulated industries with full compliance support.

How do you ensure the AI doesn't provide incorrect or outdated information?

The system includes confidence scoring, source citation, and version control. It clearly indicates when information might be outdated and provides references to the original documents for verification.