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n8n-nodes-moorcheh

v0.1.3

Published

Official n8n nodes for integrating Moorcheh - https://moorcheh.ai

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Links

Git

Maintainers

mjfkmjfkneelbuildsneelbuilds

Keywords

n8n-community-node-package

Readme

n8n-nodes-moorcheh

Banner image

This is an n8n Official node interfacing with Moorcheh.

Moorcheh is a powerful vector store and AI platform that enables semantic search, document storage, and AI-powered question answering across your data.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Credentials
Compatibility
Usage
Resources

Installation

Follow the installation guide in the n8n community nodes documentation.

Operations

Namespace Operations

  • Create: Create a new namespace for storing documents or vectors
  • List: List all available namespaces
  • Delete: Delete a namespace and all its contents

Document Operations

  • Upload: Upload documents to a namespace for semantic search
  • Get: Retrieve specific documents by their IDs
  • Delete: Delete documents from a namespace

Vector Operations

  • Upload: Upload vector embeddings to a namespace
  • Delete: Delete vectors from a namespace

Search Operations

  • Search: Perform semantic search across namespaces using text queries or vector embeddings

Answer Operations

  • Generate: Generate AI-powered answers based on namespace content using various LLM models

Credentials

To use this node, you need a Moorcheh API key:

  1. Sign up for a Moorcheh account at console.moorcheh.ai
  2. Navigate to your API settings
  3. Generate an API key
  4. Use the API key in the Moorcheh credentials in n8n

Compatibility

  • n8n version: 1.0.0 or later
  • Node.js version: 20.15 or later

Usage

Creating a Namespace

  1. Select the "Namespace" resource
  2. Choose "Create" operation
  3. Enter a namespace name
  4. Select the type (Text or Vector)
  5. For vector namespaces, specify the vector dimension

Uploading Documents

  1. Select the "Document" resource
  2. Choose "Upload" operation
  3. Enter the namespace name
  4. Add documents with ID, text content, and optional metadata

Searching Content

  1. Select the "Search" resource
  2. Choose "Search" operation
  3. Enter your query (text or comma-separated vector values)
  4. Specify target namespaces
  5. Set top_k and threshold parameters

Generating AI Answers

  1. Select the "Answer" resource
  2. Choose "Generate" operation
  3. Enter the namespace name
  4. Provide your question
  5. Select an AI model and configure parameters

Resources