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Documentation Index

Fetch the complete documentation index at: https://docs.moorcheh.ai/llms.txt

Use this file to discover all available pages before exploring further.

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1. Start the server

pip install moorcheh-client
moorcheh up
moorcheh status
API base URL: http://localhost:8080

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2. Create a namespace

moorcheh namespace-create --name docs --type text
Or in Python: 
from moorcheh import MoorchehApiClient

client = MoorchehApiClient("http://localhost:8080")
client.create_namespace({
    "namespace_name": "docs",
    "type": "text",
})

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3. Upload documents

Save docs-upload.json: 
{
  "documents": [
    {
      "id": "doc-1",
      "text": "Hello from Moorcheh on-prem",
      "team": "ai"
    }
  ]
}

moorcheh upload-documents --namespace-name docs --documents-file docs-upload.json
moorcheh upload-job-status --namespace-name docs --job-id <job_id>

moorcheh search --query "hello moorcheh" --namespaces docs --top-k 5

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5. Stop (data is kept)

moorcheh down
Data remains in ~/.moorcheh/data.

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Next steps

CLI

Full moorcheh command reference

API reference

Full REST endpoint documentation

Python client

End-to-end Python workflow