AI assisted RAG support framework powered by CrewAI for intelligent support ticket handling
A modular framework implementing Retrieval-Augmented Generation (RAG) to enhance AI-powered support systems. The system uses CrewAI to orchestrate AI agents that analyze support tickets, predict resolution patterns, and augment support staff capabilities across multiple platforms.
- Document ingestion and processing
- Vector storage integration
- Semantic search capabilities
- Context-aware AI responses
- Support ticket classification
- Multi-platform support integration:
- Freshdesk
- ServiceNow
- Zendesk
- Knowledge base connectors:
- Wiki.js
- Confluence
- Notion
- ServiceNow Knowledge
- AI-powered ticket analysis and resolution prediction
- Automated support agent assistance
- Knowledge article recommendation
- Support Platform Adapters: Modular integrations for different ticketing systems
- Knowledge Base Connectors: Pluggable interfaces for various knowledge sources
- CrewAI Agents:
- Ticket Analyzer Agent: Processes and classifies incoming tickets
- Resolution Predictor Agent: Suggests solutions based on historical patterns
- Knowledge Navigator Agent: Identifies relevant documentation
- Support Assistant Agent: Interfaces with support staff
Documentation and setup instructions coming soon.
- Python 3.8+
- CrewAI
- Vector database (e.g., Pinecone, Weaviate)
- API access to supported platforms
The framework provides abstract base classes for implementing new platform integrations:
BaseSupportAdapter: For ticketing system integrationBaseKnowledgeConnector: For knowledge base integration
[License details to be added]