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Introduction to Galadril

Welcome to the technical documentation for Galadril.

Galadril is a scalable, configuration-driven platform designed to ingest heterogeneous data, such as documents, financial logs, and OSINT, and process it through high-performance, custom machine learning pipelines.

Core Philosophy

  • Configuration-Driven: Orchestrate your entire system via a single pipeline.yaml file for maximum reproducibility.
  • Event-Driven Architecture: High-throughput communication between components is handled natively via Apache Kafka.

Prerequisites

To effectively build with Galadril, you should be familiar with the following core technologies:

TechnologyPurpose in Galadril
YAMLPipeline config for services.
PythonCustom ML models (JAX, PyTorch, etc.) via galadril-vision.
AvroData schemas and service interoperability.

TIP: Since these are industry-standard languages, LLMs have excellent support for them. If you run into schema issues or need boilerplate code, use them to speed up your workflow.

License

Source code and documentation are released under the MPL-2.0 license.