Bibliothek / Chatbots & Messaging-Bots
Chatbots & Messaging-Bots
Über WhatsApp mit einem OpenAI-Vertriebsagenten verkaufen
Wenn eine WhatsApp-Nachricht eintrifft, beantwortet ein OpenAI-Vertriebsagent mit Gedächtnis und Vektorspeicher Produktfragen im Chat.
Was sie bewirkt
## Try It Out! ### This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions. * This template is in 2 parts: creating the product catalog vector store and building the WhatsApp AI chatbot. * A product brochure is imported via HTTP request node and its text contents extracted. * The text contents are then uploaded to the in-memory vector store to build a knowledgebase for the chatbot. * A WhatsApp trigger is used to capture messages from customers where non-text messages are filtered out. * The customer's message is sent to the AI Agent which queries the product catalogue using the vector store tool. * The Agent's response is sent back to the user via the WhatsApp node. ### Need Help? Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}
Die Schritte
- WhatsApp Trigger
- OpenAI Chat Model
- Window Buffer Memory
- Vector Store Tool
- Embeddings OpenAI
- OpenAI Chat Model1
- When clicking ‘Test workflow’
- Embeddings OpenAI1
- Default Data Loader
- Recursive Character Text Splitter
- Extract from File
- get Product Brochure
- Reply To User
- Reply To User1
Insgesamt 33 Schritte.
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