Local Knowledge Graph
Ask a local model a question, watch it reason step by step, and see the steps drawn as a graph where the edges are how similar the steps are to each other.
Everything runs on your machine. Nothing is uploaded anywhere.
Run it
pip install mpe-lkg
mpe-lkg
Then open http://localhost:5100.
It needs a local model, which it reaches through Ollama. You do not
need to work that out from here — start it and it will tell you what it found, what is
missing, and the one command that fixes it. mpe-lkg doctor reports the same thing without
starting the server, and exits non-zero, so it works in a script.
Python 3.10 or newer. The wheel is py3-none-any, so nothing is compiled and the same
artefact serves Linux, macOS and Windows — all three tested on every push.
From a clone, or from Python
git clone https://github.com/punnerud/Local_Knowledge_Graph
cd Local_Knowledge_Graph
python3 -m venv .venv && .venv/bin/pip install -e .
.venv/bin/mpe-lkg
python app.py still works from a clone as it always has.
from mpe_lkg import create_app, health
print(health())
create_app().run(port=5100)
More
| Models and configuration | Choosing models, every environment variable, troubleshooting |
| Embeddings from inside a model | Reading a chosen layer instead of an embedding endpoint |
| How it works | The modules, the strongest-path search, why there is no ANN index |
| Development | Tests, and the gate that checks this documentation against measured data |
Licence
The mpedb License 1.0 — the same licence as mpedb and MPEqs, byte for byte.
Free of charge for every person and every organization, with one exception: a group whose revenue or valuation exceeds five billion dollars owes a one-time fee of seven US cents per device. Not an OSI-approved licence.
Published to PyPI as mpe-lkg — Morten Punnerud-Engelstad Local
Knowledge Graph.
1 maintainer
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