How it works
To connect Redis and Default Data Loader, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: When clicking ‘Test workflow’
- Then: GET all files
- Check: Filter out files from undesired categories
- Then: Split out individual files
- Check: Filter out non-pdf files
- Then: Download file from BambooHR
- Then: Supabase Vector Store
- Then: Default Data Loader
- Then: Embeddings OpenAI
- Then: Recursive Character Text Splitter
- Then: Window Buffer Memory
- Then: OpenAI Chat Model
- Then: Vector Store Tool
- Then: OpenAI Chat Model1
- Then: Embeddings OpenAI1
- Then: Employee Lookup Tool
- Then: OpenAI Chat Model2
- Then: OpenAI Chat Model3
- Then: OpenAI Chat Model4
- Then: Auto-fixing Output Parser
- Then: OpenAI Chat Model5
- Then: Structured Output Parser
- Starts when: Employee initiates a conversation
- Then: HR AI Agent
- Then: Supabase Vector Store Retrieval
- Starts when: AI-Powered HR Benefits and Company Policies Chatbot
- Then: Text Classifier
- Then: GET all employees
- Check: Filter out other employees
- Then: Stringify employee record for response
- Then: GET all employees (second path)
- Then: Extract departments
- Then: Ensure uniqueness in department list
- Then: Extract department
- Then: Retrieve all employees
- Check: Filter out other departments
- Then: Extract relevant employee fields
- Then: Identify most senior employee
- Then: Format name for response
You can launch this Redis + Default Data Loader integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.