WordloopSystem Workflows
Key data and message flows across the Wordloop system architecture.
System Workflows
This document outlines the vital data pipelines and chronological component interactions driving the Wordloop platform.
1. Unified Asynchronous Meeting Finalization
WordLoop utilizes a singular background processing pipeline capable of finishing both batch-uploaded raw audio files and finalizing severed/abandoned WebSocket Live meetings.
Resilient Synthesis
By deferring all complex generation algorithms to the asynchronous TranscriptionJobMessage, Wordloop protects the stateful live recording connections from cascading OOM crashes while ensuring offline tasks natively self-heal broken streams.
2. Real-Time WebSocket Streaming
The synchronous audio pipeline designed around high-availability, zero-in-memory-buffering, and multi-endpoint data dispersion.
3. Voice Context Pipelines
Workflows for orchestrating speaker identity, embeddings, and context.
Vector matching operations are computationally intensive. The frontend must expect varying latency when querying nearest neighbors.
4. AI Chat Context Orchestration
Retrieving meeting context for intelligent conversational RAG queries.
Authentication & Authorization
How identity, sessions, and service-to-service auth are managed.
Optimistic Mutation with Echo-Suppressed Streaming
Wordloop's core data architecture — REST mutations with optimistic UI, WebSocket streaming for real-time reads, and echo suppression for multi-device synchronization.