SyncFlo Architecture
Understanding the core components of the SyncFlo AI platform and how they interact to deliver seamless conversational experiences.
Client Layer
End-user interface via WhatsApp. Handles direct message input and media rendering.
SyncFlo Core
The brain of the operation. Orchestrates message routing, AI processing (via LLMs), and state management.
Data & Integration
Connects to your vector database (RAG), CRMs, and external APIs/Webhooks.
Key Concepts
Agents
Autonomous units configured with specific knowledge bases, prompts, and tools. An agent represents a single persona (e.g., 'Support Bot' or 'Sales Rep').
Flows
Structured conversation paths for collecting data (e.g., lead forms). Flows can interrupt and resume standard AI chat.
Conversations
The thread of interaction between a unique WhatsApp user and an Agent. Stores history and context.
Knowledge Base
Your uploaded documents (PDF, TXT, URL) that created the RAG (Retrieval-Augmented Generation) context for accurate answers.