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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.

1. Start the server

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

2. Upload vectors

Save payload.json:
{
  "vectors": [
    {
      "id": "item-1",
      "vector": [0.01, -0.02, "... 1024 floats total ..."]
    }
  ]
}
moorcheh-edge upload-vectors --vectors-file payload.json
moorcheh-edge search \
  --query-vector-json "[0.01, -0.02, ... 1024 floats ...]" \
  --top-k 5

4. Python SDK

from moorcheh_edge import MoorchehEdge

with MoorchehEdge() as client:
    print(client.health())
    client.upload([
        {"id": "item-1", "vector": [...]},  # 1024 floats
    ])
    results = client.search(query=[...], top_k=5)
    print(results)

5. Stop (data is kept)

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

Next steps

CLI

Full moorcheh-edge command reference

API reference

REST endpoint documentation

Python client

SDK workflow

Limits

10k store cap and vector rules