BambooHR AI-powered company policies and benefits chatbot
Needs changesWhat this workflow does
This AI workflow has 39 nodes and runs manually, when you click “Execute workflow” (plus 2 other triggers). Along the way it connects Embeddings OpenAI, OpenAI Chat Model, Vector Store Question Answer and BambooHR and 1 more.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 2 other triggers).
- GET all files (BambooHR): get many (file)
- HR AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 2 tools (Vector Store Tool, Employee Lookup Tool); memory: Window Buffer Memory
- Text Classifier: classifies text into categories with AI, with model: OpenAI Chat Model
- Filter: keeps only the items that match a condition
- GET all employees (BambooHR): get many
- GET all employees (second path) (BambooHR): get many
- Split Out: splits a list into separate items
- Filter: keeps only the items that match a condition
- Extract departments (Aggregate): combines items into one
- Filter: keeps only the items that match a condition
…plus 10 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in HR AI Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) HR AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (22)
- Manual Trigger
n8n-nodes-base.manualTrigger - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - BambooHR
n8n-nodes-base.bambooHr - Filter
n8n-nodes-base.filter - Split Out
n8n-nodes-base.splitOut - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Text Classifier
@n8n/n8n-nodes-langchain.textClassifier - Edit Fields (Set)
n8n-nodes-base.set - Aggregate
n8n-nodes-base.aggregate - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
How it works This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: 1. Retrieves company policies, benefits, and HR documents from BambooHR. 2. Uses AI to analyze and answer…