beewise

n8n community node for BeeWise — Knowledge Base & RAG API

Package Information

Downloads: 2 weekly / 29 monthly
Latest Version: 0.1.0
Author: BeeTheTech

Documentation

n8n-nodes-beewise

BeeWise community node for n8n.

Search your knowledge base, ask AI-powered questions, manage content, and more — directly from your n8n workflows.

Installation

Community Nodes (Recommended)

  1. Go to Settings > Community Nodes
  2. Select Install
  3. Enter n8n-nodes-beewise and confirm

Manual Installation

npm install n8n-nodes-beewise

Credentials

You need a BeeWise API key (bw_...) to use this node.

  1. Log in to your BeeWise dashboard
  2. Go to Settings > API Keys
  3. Create a new API key
  4. Paste it into the n8n credential configuration

Resources & Operations

Knowledge (RAG)

Operation Description
Search Semantic search — returns raw chunks for your agent to process
Ask Search + AI-generated answer from the knowledge base
Chat Conversational RAG with message history
Send Feedback Rate a chat message as helpful/unhelpful

Content (CMS)

Operation Description
List List contents with filters (status, product, template, tag, search)
Get Get a single content by slug (with folders and references)
Get Versions List version history
Restore Version Restore a previous version
Get Locales Get available translations
Set Locale Create or update a translation
Delete Locale Remove a translation
Generate Preview Generate a temporary preview URL

Folder

Operation Description
List List all folders with hierarchy
Get Get folder by path (e.g., marketing/blog)

Product

Operation Description
List List all products (with optional content count)

Tag

Operation Description
List List all tags (with optional content count)

Template

Operation Description
List List active content templates

Webhook

Operation Description
List List all CMS webhooks
Create Create a webhook for content events
Delete Delete a webhook

Usage with AI Agents

The Knowledge > Search operation is designed to be used as a tool in AI agent workflows. It returns raw chunks with similarity scores, so your agent can use the context in its own LLM call.

Tip: In the tool description for your AI agent, instruct it to reformulate user questions into keyword-rich queries for better semantic search results:

"Search the BeeWise knowledge base. Reformulate the user's question with specific keywords and context before searching."

License

MIT

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