How it works
To connect Qdrant and exolve, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: When clicking ‘Test workflow’
- Then: Google Folder ID
- Then: Find File Ids in Google Drive Folder
- Then: File Id List
- Check: Merge1
- Then: Confirm Qdrant Delete Points
- Check: If
- If yes: Delete Qdrant Points by File ID
- Check: Merge2
- Check: Loop Over Items
- Then: Send Completed Message
- Then: Download File From Google Drive
- Then: Get File Contents
- Then: Extract Meta Data
- Check: Merge
- Then: Qdrant Vector Store
- Then: Wait
- If no: Send Declined Message
- Then: Qdrant Collection Name
- Then: Data Loader
- Then: Token Splitter
- Then: Google Gemini Chat Model
- Then: text-embeddings-3-large
- Then: gpt-4o-mini1
- Starts when: Webhook
- Then: AI Agent
- Then: Update Chat History
- Then: Respond to User
- Then: Window Buffer Memory
- Starts when: When chat message received
- Then: Google Gemini Chat Model1
- Then: text-embeddings-3-large1
- Then: Google Drive
- Then: Qdrant Vector Store Tool
- Then: OpenAI Chat Model
You can launch this Qdrant + exolve integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.