Product Overview
Chatty AI is a self-hosted enterprise AI platform for conversational AI, document retrieval, workflow automation, and database integration.
Core Value Proposition
- Self-Hosted: Complete data sovereignty within your infrastructure
- Enterprise-Ready: LDAP/SSO, role-based access, audit logging
- Integrated Platform: Chat, RAG, workflows, and integrations in one deployment
- Flexible Deployment: Vendor-managed (Portainer) or customer-managed (Docker Compose)
Key Capabilities
🗨️ Conversational AI
- Multi-turn conversations with context retention
- Multiple LLM providers (OpenAI, Azure, Anthropic, local models)
- File upload and document processing
- Streaming responses and conversation history
🔍 RAG (Retrieval-Augmented Generation)
- Document embedding and semantic search (Qdrant)
- Hybrid search (vector + keyword BM25)
- Configurable chunking and reranking
- Multi-tenancy and knowledge base management
📊 Natural Language to SQL (Databases)
- Natural language to SQL translation
- Multiple database support (PostgreSQL, MySQL, etc.)
- Query visualization and schema understanding
⚙️ Workflow Automation (n8n)
- Visual workflow builder with 300+ integrations
- Scheduled execution and event triggers
- API connectivity to Chatty AI
🔐 Enterprise Authentication
- LDAP: Active Directory, OpenLDAP
- SSO: Microsoft Entra ID (Azure AD), SAML
- Local Users and API Keys
- Role-based access control
🔗 Integrations
- Microsoft 365: Outlook, OneDrive, Teams, SharePoint, Calendar, To Do, Planner, OneNote, Excel
- Jira: Project management and issue tracking
- Monday.com: Work management and collaboration
- MCP Servers: Extensible integration framework
- Custom APIs: REST/GraphQL connectivity
See Integrations for detailed integration guides.
Use Cases
- Customer Support: AI-powered chat with knowledge base access
- Internal Knowledge Management: RAG-based document search and Q&A
- Database Analytics: Natural language queries for business intelligence
- Workflow Automation: Automated business processes with n8n
- Enterprise Collaboration: Integrated MS365, Jira, Monday.com workflows
Getting Started
- Review Architecture Overview
- Choose Deployment Model
- Check Hardware Requirements
- Follow Installation Guide
For detailed technical information, see:
- Architecture Overview - System components
- Deployment Models - Portainer vs Docker Compose
- Requirements - Hardware and software needs