Refinery components for the Sayou Data Platform
Project description
Sayou Refinery
A pluggable framework for refining raw Data Atoms into a coherent Knowledge Graph (KG) for advanced LLM applications.
💡 Why Sayou Refinery?
sayou_refinery solves the core problem of organizing messy, disconnected data into a structured KG. This KG acts as a "map" for RAG pipelines, allowing LLMs to retrieve accurate, context-aware data, minimizing hallucinations and costs.
- Pluggable Architecture: Bring your own data store (Neo4j, JSON) or refinement logic.
- Ontology-Driven: Ensures all data conforms to your central schema.
- Focused Responsibility: Does one job well: Refine & Link. No connectors, no embedding logic.
🚀 Quick Start
pip install sayou-refinery
🏗️ Core Concepts
- Data Atom: The standard input unit. (Schema/structure explanation)
- Refiner (BaseRefiner): Cleans, aggregates, or transforms atoms. (e.g., averaging subway data)
- Linker (BaseLinker): Establishes relationships between nodes.
- Store (BaseStore): The output driver (JSON, Neo4j, etc.).
📜 License
Apache 2.0 License © 2025 Sayouzone
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