Create a bot that searches your documentation in a vector database and integrates with Zapier or Slack to answer customer questions.
Perform a vector search in the "Help Desk" vector database based on a user's query across multiple data sources.
Summarize the output in a conversational format, and answer the user in the preferred channel (e.g. Slack).
Perform a vector search in the "Q&A bank" vector database that stores all previously asked user queries and answers.
It looks like you're asking about passing inputs into an API node. I recommend checking out our Help Doc on that topic here: [API Node Tips](https://docs.vellum.ai/help-center/workflows/node-types#api-node-tips). If you have any more questions, feel free to ask!
1/ Integrate multiple vector dbs
2/ Try different models
3/ Integrate business logic
4/ Perform evaluations
5/ Debug and test in production
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