Patterns are proven solutions to common challenges when building AI apps on FlowX. Each pattern is extracted from production implementations and can be combined to build complex apps.Documentation Index
Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt
Use this file to discover all available pages before exploring further.
Available patterns
Intent classification and routing
Use a TEXT_UNDERSTANDING node to classify user input and route to specialized handlers. The foundation of any conversational AI app.
Knowledge base RAG
Ground AI responses in your documents using retrieval-augmented generation with Qdrant vector search and the CUSTOM_AGENT node.
Fan-out extraction
Classify documents by type, then route each to a specialized TEXT_EXTRACTION node with tailored prompts and schemas. Scale to dozens of document types.
AI comparison and reconciliation
Compare AI-extracted document data against system-of-record values and generate structured exception reports with match rates and confidence scores.
Hybrid AI + business rules
Combine AI extraction and understanding with deterministic business logic (formulas, eligibility checks, scoring) for auditable decision-making.
Session state management
Manage conversation history and session state across multi-turn interactions using FlowX Database workflows.
How to use patterns
Each pattern page includes:- When to use — the problem it solves and when to reach for it
- Architecture — how the workflow nodes connect
- Implementation — key configuration: prompts, schemas, fork conditions
- Real-world example — where this pattern appears in our tutorials
- Variations — common adaptations
| App type | Common pattern combination |
|---|---|
| Conversational advisor | Intent routing + Knowledge base RAG + Session state + Hybrid AI rules |
| Document processor | Fan-out extraction + AI comparison + Hybrid AI rules |
| Email automation | Fan-out extraction + AI comparison + Session state |
Pattern origins
These patterns are extracted from two production-grade FlowX apps:- Mortgage advisor — a chatbot that evaluates loan eligibility across 7 banks using conversational AI, document extraction, and financial calculations
- Logistics document processor — an email-triggered pipeline that processes 17 document types from carrier emails, reconciles them against a TMS, and surfaces exceptions for review
Related resources
Tutorials
End-to-end implementations using these patterns
Node types
AI node type reference
Conversational workflows
Multi-turn chat with session memory
Using agents
Integration and deployment options