Moorcheh FAQs

Question 1

How do I integrate Moorcheh with my development environment?

Accepted Answer

You can integrate Moorcheh by cloning the repository, installing dependencies, configuring your Moorcheh API key in a `.env` file, and then starting the server. It also provides specific setup guides for clients like Claude Desktop and Cursor IDE.

Question 2

What are the prerequisites to use Moorcheh?

Accepted Answer

To use Moorcheh, you will need Node.js (v18.0.0 or higher), an active Moorcheh Account with API access, and Git for cloning the repository.

Question 3

What is the Moorcheh MCP Server?

Accepted Answer

The Moorcheh MCP Server provides seamless integration with Moorcheh's core AI services, including embedding, vector storage, advanced semantic search, and generative AI answer capabilities, all accessible through the Model Context Protocol (MCP) for client applications.

Question 4

What key AI features does Moorcheh offer?

Accepted Answer

Moorcheh offers Namespace Management for data organization, document and vector embedding uploads, advanced semantic search, and AI-powered Answer Generation (RAG) to provide intelligent responses based on your stored data.

Question 5

What kind of data operations can I perform with Moorcheh?

Accepted Answer

Moorcheh supports comprehensive data operations including creating, listing, and deleting namespaces, uploading text documents and vector embeddings, retrieving data by ID, and deleting specific content items.

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