Dynamixs AI

This repository contains the source code as also build scripts to setup an Dynamixs AI instance.

Topics

• Imixs Worklflow Engine - BPMN 2.0
• Retrieval Augmented Generation (RAG)
• A2A Agent Integration
• Knowledge DB (Apache Cassandra)

Build & Run

The dev environment is defined by the 'docker compose' file docker-compose-dev.yaml

The Environment contains the following components:

• Imixs-Office-Workflow - application instance based on Wildfly 29.x
• PostgreSQL Server - postgres:9.6.1 - local database
• Apache Tika - apache/tika:3.2.0.0-full for OCR
• Apache Cassandra - cassandra:5.0.4 local vector database
• Collabora - collabora/code:25.04.6.2.1 for local office documents
• Imixs-Admin - imixs/imixs-admin Imixs Admin Client
• Prometheus - prom/prometheus:latest for logging metrics
• Grafana - grafana/grafana:10.4.0 - for metric monitoring

AI / LLM

The system expects a LLM Server endpoint based on Open AI API. The default LLM server endpoint is defined by the environment variables LLM_SERVICE_ENDPOINT and LLM_API_KEY. You can define both variables in the file ./docker/.env

LLM_API_ENDPOINT=https://my.llama.cpp.foo.com/
LLM_API_KEY=your-api-key-here

Build / Setup

To build and run the project you can use the build script devi.sh and run:

$ ./devi setup

This wild build the project with 'maven' and also build the local docker image. The project will be started automatically.

You can also start the project with

$ ./devi start

To access the application from our Web browser

http://localhost:8080

(Default user admin' - default passwort adminadmin`)