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This project provides a Dockerized setup for running Weaviate as a local vector database. It includes a pre-configured Docker Compose setup, support for manual vector handling, and optional integration with vectorization modules using OpenAI or a local embedding model with Ollama. The setup features an example Jupyter notebook demonstrating Weaviate’s CRUD workflow and client library usage. Configuration is managed via .env, ensuring flexibility for different vectorization approaches. Designed for quick deployment, this setup serves as a practical starting point for building AI-powered applications with vector search capabilities.

A container image for CI usage to create semantic releases.

Demo von cosign mit SoftHSM (und Tests mit YubiKey) für den Inselbetrieb

A command-line utility to modify openDesk files.

Git pull mirror from upstream repo https://github.com/nordeck/jitsi-keycloak-adapter.git. Please use upstream repo for contributions.

Scanner-Komponente des OZG-Security-Challenge-Schnelltests – prüft den Umsetzungsgrad von ausgewählten IT-Sicherheitsmaßnahmen und Best Practices von Webseiten

Microservice for importing module in consus