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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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What is Moorcheh Edge?

Moorcheh Edge runs locally on your machine for fast vector upload and similarity search. You provide 1024-dimensional embedding vectors; the server binarizes them and searches on-device without cloud calls.
PyPI packagemoorcheh-edge
CLImoorcheh-edge
Python importfrom moorcheh_edge import MoorchehEdge
Server imagemoorcheh/moorcheh-edge:latest (Docker Hub)
Default APIhttp://localhost:8080
Data on disk~/.moorcheh-edge/data
Edge has no API keys. Start the server with moorcheh-edge up, then call the API on localhost.

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What you can do

  • Upload or replace vectors by id
  • Search with a 1024-float query vector
  • Delete vectors by id
  • Check store health and quota via /health
Moorcheh Edge is vector-only. Plain text queries are rejected. Generate embeddings in your app or upstream service first.

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Prerequisites

  • Python 3.10+
  • Docker (Desktop or Engine)
No Ollama required.

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Install and run

pip install moorcheh-edge
moorcheh-edge up
moorcheh-edge status
See Quickstart for upload and search.

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Documentation

SectionUse when
QuickstartFirst run end-to-end
LimitsFree tier and 10k store cap
API referenceHTTP integration
Python clientApps with MoorchehEdge
CLILocal ops with moorcheh-edge

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Data persistence

Vectors are stored under: 
~/.moorcheh-edge/data/
  moorcheh_edge_store.json
moorcheh-edge down stops the container but does not delete this folder.