This workflow helps teams triage inbound ecosystem partner applications and take the right next step automatically. It uses an AI agent to evaluate each partner’s region, product category, ecosystem fit, company signal, and Dify plugin status, then routes the application into one of three paths

This template continuously monitors specific folders in Google Drive and automatically indexes new or modified files into a Qdrant vector database. When the Google Drive Change Trigger reports a change, the workflow downloads the file, runs OCR for images or extracts text from documents, splits the text into manageable chunks and generates embeddings. Those embeddings are upserted into a Qdrant collection for later retrieval. This allows you to build and refresh a knowledge base from documents stored in Google Drive without manual intervention.

This workflow implements an agentic retrieval‑augmented‑generation (RAG) pipeline for legal research. The Agent node inspects the user’s question and selects the most appropriate action: search pre‑built Qdrant collections (e.g. CUAD mini, Iowa housing law, Wyoming housing law) or perform a Google web search. Search results are summarised and cited, and the agent returns a natural‑language answer while following strict instructions (e.g. no legal advice). The pipeline is designed for questions about contract clauses and housing regulations and demonstrates a multi‑tool, context‑aware RAG agent