AutomationFlowsAI & RAG › Обработка Обратной Связи (lm Chat Google Gemini)

Обработка Обратной Связи (lm Chat Google Gemini)

Обработка обратной связи. Uses lmChatGoogleGemini, embeddingsOpenAi, vectorStorePGVector, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

Event trigger★★★★☆ complexityAI-powered17 nodesGoogle Gemini ChatOpenAI EmbeddingsVector Store PgvectorDocument Default Data LoaderAgentOutput Parser StructuredText Splitter Recursive Character Text SplitterExecute Workflow Trigger
AI & RAG Trigger: Event Nodes: 17 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Agent → Documentdefaultdataloader recipe pattern — see all workflows that pair these two integrations.

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About this workflow

Обработка обратной связи. Uses lmChatGoogleGemini, embeddingsOpenAi, vectorStorePGVector, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

Source: https://github.com/Mandravrotka/servicedesk_priority/blob/c9d2adfcdb390370c32606d0b7157ea69429b338/setup/workflow/feedback-processing.json — original creator credit. Request a take-down →

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