How it works
To connect Postgres PGVector Store and Qdrant Vector Store, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: rag
- Then: Question and Answer Chain
- Starts when: Send RAG response to VAPI
- Then: Google Gemini Chat Model
- Then: Vector Store Retriever
- Then: Qdrant Vector Store1
- Then: Embeddings OpenAI
- Then: get_order
- Then: get_orders
- Then: get_user
- Then: Calculator
- Then: get_tracking
- Starts when: When Executed by Another Workflow
- Then: Get tracking
- Then: Set tracking code
- Then: Post-Sales Agent
- Then: Set response
- Starts when: Send response to VAPI
- Then: GPT 4o-mini
- Starts when: Webhook
You can launch this Postgres PGVector Store + Qdrant Vector Store integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.