Description

Use a local LLM, based on SUSE AI (ollama, openwebui) to power geeko search (public instance: https://geeko.port0.org/).

Goals

Build a SUSE internal instance of https://geeko.port0.org/ that can operate on internal resources, crawling confluence.suse.com, gitlab.suse.de, etc.

Resources

Repo: https://github.com/digitaltom/semantic-knowledge-search

Public instance: https://geeko.port0.org/

Results

Internal instance:

I have an internal test instance running which has indexed a couple of internal wiki pages from the SCC team. It's using the ollama (llama3.1:8b) backend of suse-ai.openplatform.suse.com to create embedding vectors for indexed resources and to create a chat response. The semantic search for documents is done with a vector search inside of sqlite, using sqlite-vec.

image

Looking for hackers with the skills:

ollama ai rails search

This project is part of:

Hack Week 24

Activity

  • 8 months ago: doreilly liked this project.
  • 11 months ago: arharovets46 joined this project.
  • 11 months ago: arharovets46 liked this project.
  • 11 months ago: digitaltomm added keyword "ollama" to this project.
  • 11 months ago: digitaltomm added keyword "ai" to this project.
  • 11 months ago: digitaltomm added keyword "rails" to this project.
  • 11 months ago: digitaltomm added keyword "search" to this project.
  • 11 months ago: baldarn liked this project.
  • 11 months ago: PSuarezHernandez liked this project.
  • 11 months ago: skotov joined this project.
  • 11 months ago: hennevogel liked this project.
  • 11 months ago: digitaltomm started this project.
  • 11 months ago: moio liked this project.
  • about 1 year ago: digitaltomm originated this project.

  • Comments

    Be the first to comment!

    Similar Projects

    Flaky Tests AI Finder for Uyuni and MLM Test Suites by oscar-barrios

    Description

    Our current Grafana dashboards provide a great overview of test suite health, including a panel for "Top failed tests." However, identifying which of these failures are due to legitimate bugs versus intermittent "flaky tests" is a manual, time-consuming process. These flaky tests erode trust in our test suites and slow down development.

    This project aims to build a simple but powerful Python script that automates flaky test detection. The script will directly query our Prometheus instance for the historical data of each failed test, using the jenkins_build_test_case_failure_age metric. It will then format this data and send it to the Gemini API with a carefully crafted prompt, asking it to identify which tests show a flaky pattern.

    The final output will be a clean JSON list of the most probable flaky tests, which can then be used to populate a new "Top Flaky Tests" panel in our existing Grafana test suite dashboard.

    Goals

    By the end of Hack Week, we aim to have a single, working Python script that:

    1. Connects to Prometheus and executes a query to fetch detailed test failure history.
    2. Processes the raw data into a format suitable for the Gemini API.
    3. Successfully calls the Gemini API with the data and a clear prompt.
    4. Parses the AI's response to extract a simple list of flaky tests.
    5. Saves the list to a JSON file that can be displayed in Grafana.
    6. New panel in our Dashboard listing the Flaky tests

    Resources


    Recipes catalog and calculator in Rails 8 by gfilippetti

    My wife needs a website to catalog and sell the products of her upcoming bakery, and I need to learn and practice modern Rails. So I'm using this Hack Week to build a modern store using the latest Ruby on Rails best practices, ideally up to the deployment.

    TO DO

    • Index page
    • Product page
    • Admin area -- Supplies calculator based on orders -- Orders notification
    • Authentication
    • Payment
    • Deployment

    Day 1

    As my Rails knowledge was pretty outdated and I had 0 experience with Turbo (wich I want to use in the app), I started following a turbo-rails course. I completed 5 of 11 chapters.

    Day 2

    Continued the course until chapter 8 and added live updates & an empty state to the app. I should finish the course on day 3 and start my own project with the knowledge from it.

    Hackweek 24

    For this Hackweek I'll continue this project, focusing on a Catalog/Calculator for my wife's recipes so she can use for her Café.

    Day 1