How it works
To connect Qdrant and devino, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: n8n_rag_function
- Then: Retrive Agent
- Starts when: Respond to Webhook
- Check: Filter
- Then: Set call fields
- Then: Extract key points
- Then: Telegram
- Then: OpenAI Chat Model
- Then: Structured Output Parser
- Then: Retrive Qdrant Vector Store
- Then: Embeddings OpenAI2
- Then: RAG
- Then: OpenAI Chat Model2
- Then: OpenAI Chat Model1
- Then: Google Calendar
- Then: OpenAI Chat Model3
- Then: Structured Output Parser1
- Starts when: n8n_call
- Starts when: n8n_check_available
- Then: Concert start date
- Starts when: When clicking ‘Test workflow’
- Then: Create collection
- Then: Refresh collection
- Then: Get folder
- Then: Download Files
- Then: Qdrant Vector Store
- Then: Embeddings OpenAI
- Then: Default Data Loader
- Then: Token Splitter
You can launch this Qdrant + devino integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.