Advanced RAG Template for Enterprise & Institutions

Template
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Template
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by
Pavel Cermak

Overview: This template provides a comprehensive framework for AI agencies developing production-ready assistants for enterprise clients. It focuses on addressing common challenges in accuracy, cost management, and security.

Key Features

1. Accuracy Enhancement

- Utilizes advanced RAG techniques

- Achieves 90-95% accuracy in real-world deployment

- Includes query optimization and custom intent classification, tagging, metadata filters and much more

2. Cost Management

- Implements token caching and direct API calls

- Reduces operational costs by approximately 60%

- Allows for scaling without proportional cost increases

3. Security and Compliance

- Built-in GDPR compliance measures

- User management system with daily limits and banning capabilities

- Content protection including spam detection and off-topic filtering

4. Scalability and Reliability

- Automated logging system

- Error handling with fallback mechanisms

- Daily reset of user restrictions

5. Data Integration

- Automated website scraper for knowledge base population

- Converts website content to Voiceflow tabular JSON KB format

6. Customization Options

- Multilingual support

- Customizable webchat styling

- Flexible intent classification system

7. Implementation Resources

- Voiceflow template

- Python scraper script

- Webchat code

- Setup guide and video tutorial

Potential Benefits for AI Agencies

- Reduced development time for enterprise-grade assistants

- Improved ability to meet strict enterprise security and accuracy requirements

- More efficient resource allocation due to cost optimization features

- Flexibility to adapt to various client needs across different sectors

Real-World Application: The template has been successfully deployed in a government setting - specifically for a city hall in Usti nad Labem region (Czech Republic) - https://www.kr-ustecky.cz It can handle thousands of daily interactions and aims to provide AI agencies with a robust starting point for developing assistants that can meet the demanding standards of enterprise and public sector clients.

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Created By
Pavel Cermak
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