A career path discovery engine.
Pathfinder is a proof of concept for an application that lets the user discover possible career paths, being that employment or further skill development. It tries to achieve such goal leveraging semantic similarities between profile and job offers, between job offers and online courses, market data and logistic constraints.
The app, although self-contained, is conceptually split between a backend written in Clojure and a frontend written in ClojureScript.
The ultimate scope of this project is to showcase the use of vector embeddings and GenAI applied to a modern problem.
A notebook (Clay) and a couple of slides are included in the
notebooks directory. You can also find a pre-formatted, static
version in the GitHub Pages:
Pathfinder needs a DuckDB installation, a local LLM or a Groq account.
You also need some data to populate your DB.
Download from https://github.com/fourteatoo/pathfinder
To compile the jar:
$ lein uberjar
To compile the documentation:
$ lein build-docs
alternatively, to build the notebook:
$ lein notebook
or the slides
$ lein slides
Install your embedding model. Have a look here for a start:
https://huggingface.co/onnx-models/all-MiniLM-L6-v2-onnx
At this point you should be hunting for some data, Pathfinder doesn't scrape it for you. See the notebook for some ideas.
To start the app is as simple as:
$ java -jar pathfinder-0.1.0-standalone.jar [args]
then connect with your browser to http://localhost:8080 and you should be good to go.
None.
This is a proof of concept, not an application you should try at home.
No data is provided, although the notebook contains tips on where to find it.
Copyright © 2026 Walter C. Pelissero
This program and the accompanying materials are made available under the terms of the Eclipse Public License 2.0 which is available at http://www.eclipse.org/legal/epl-2.0.
This Source Code may also be made available under the following Secondary Licenses when the conditions for such availability set forth in the Eclipse Public License, v. 2.0 are satisfied: GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version, with the GNU Classpath Exception which is available at https://www.gnu.org/software/classpath/license.html.