# Technology Stack
> ***Cutting-edge technologies powering the future of AI-driven care.***
***
LUKi is built on a modular architecture with selective open-source components and enterprise-grade services. The platform prioritizes privacy, modularity, and deployment flexibility across on-premises and cloud environments.
## Core Languages & Libraries
### **Primary Development**
* **`Python`** - The backbone language for AI/ML development and data processing
### **Natural Language Processing**
* **`spaCy`** - Industrial-strength NLP parsing (entities, segmentation).
* **`Hugging Face Transformers`** - State-of-the-art transformer models and utilities.
* **`NLTK`** - used only for legacy/tokenization tasks.
### **Machine Learning & AI**
* `PyTorch 2.x` – Primary framework for inference and fine-tuning.
* `scikit-learn` – Classic ML utilities (clustering, anomaly detection, trend analysis).
* `LangChain` – Limited use for tool decorators only; custom agent orchestration with FastAPI.
* `Sentence-Transformers` – Embedding generation for ELR® chunks.
### **Data Processing & Storage**
* **`pandas`** - High-performance data manipulation and analysis
* `ChromaDB / FAISS` - Local vector stores for long-term memory retrieval.
* `SQLite / Postgres` – Lightweight structured data storage for metadata/logs.
***
## AI Platforms & Models
### **Large Language Models (LLMs)**
* Open‑source large language models serve as the primary conversational and generative backbone, with the stack designed to be easily upgraded as models improve.
* **Custom Fine‑tuned Adapters (LoRA/QLoRA)** – Domain adaptation to ELR® and caregiving context.
### **Cloud/Compute Infrastructure**
* Containerized deployment via Docker, with support for orchestration on modern Kubernetes platforms (e.g. EKS/GKE) and other managed cloud environments used during the beta phase.
* Future support for self-hosted GPU infrastructure
***
## Blockchain & Decentralization
### **REMEGrid Infrastructure**
* **Convex-based Lattice** - High-throughput, low-cost transaction environment
* **Smart Contracts** – CAP→REME conversion, data-access permissions, RUBI distribution.
***
## Database & Storage
### **Graph Databases**
* **Neo4j / NetworkX** – Social graph modeling, interest matching, community linkage.
### **Distributed Storage**
* **IPFS** - Decentralized file storage for healthcare records
* **Encrypted Data Lakes** - Compliant archival of anonymized aggregates.
***
## Security & Privacy
### **Encryption & Privacy**
* AES‑256 encryption is applied to sensitive ELR data at rest, with TLS used for all service‑to‑service and external communication as the default protection layer.
* Federated learning (future roadmap) with secure aggregation & differential privacy.
* Differential Privacy & Secure Aggregation – Protect individuals in aggregated model updates.
* Zero‑Knowledge Proofs / Homomorphic Encryption – Roadmap items for advanced verifiability.
### **Compliance & Governance**
* Architecture designed in line with HIPAA healthcare data protection principles.
* Systems engineered with GDPR requirements in mind, with formal compliance work treated as an ongoing, continuously improving process.
* **Audit Trail Technology** - Transparent, immutable record keeping.
***
***High Performance • Security First • Globally Scalable***
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