ASIC-RAG-CHIMERA

Hardware-Accelerated Cryptographic Retrieval-Augmented Generation System

Overview

ASIC-RAG-CHIMERA is a novel hybrid architecture that integrates hardware-accelerated SHA-256 hashing with Retrieval-Augmented Generation (RAG) systems to achieve unprecedented levels of security, performance, and data integrity in enterprise knowledge management.

Unlike traditional RAG implementations that expose document embeddings and rely on software-based security, our system employs:

SHA-256 Hardware Acceleration for cryptographic tag-based indexing
AES-256-GCM Encryption for data-at-rest protection
Merkle Tree Verification for blockchain-like integrity guarantees
Temporary Session Keys with configurable TTL (30 seconds default)

Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                         ASIC-RAG-CHIMERA ARCHITECTURE                        │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│    ┌─────────────┐         ┌─────────────────┐         ┌──────────────┐    │
│    │   User      │◄───────►│   LLM (GPU)     │◄───────►│  ASIC        │    │
│    │   Query     │  text   │   Ollama        │  tags   │  Simulator   │    │
│    └─────────────┘         └─────────────────┘         └──────┬───────┘    │
│                                    ▲                          │            │
│                                    │ decrypted                │ hash       │
│                                    │ data                     │ search     │
│                                    ▼                          ▼            │
│                            ┌─────────────────────────────────────┐         │
│                            │   ENCRYPTED BLOCK STORAGE (LMDB)    │         │
│                            │   AES-256-GCM | Merkle Tree         │         │
│                            └─────────────────────────────────────┘         │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

Features

🔐 Security

Cryptographic Tag Index: Search operates on SHA-256 hashes, not plaintext
Block Encryption: AES-256-GCM with per-block derived keys
Integrity Verification: Merkle tree proofs for tamper detection
Ephemeral Keys: 30-second TTL prevents replay attacks

⚡ Performance

Tag Lookup: 0.02ms (51,319 QPS)
AND Search: 0.04ms (24,373 QPS)
Hash Throughput: 725,358 H/s (1.10x vs hashlib)
Full Pipeline: 47ms including LLM

🏛️ Enterprise Ready

GDPR Compliant: Data encrypted at rest
HIPAA Ready: Access controls and audit trails
SOX Compatible: Immutable audit log via blockchain

Installation

# Clone the repository
git clone https://github.com/Agnuxo1/ASIC-RAG-CHIMERA.git
cd ASIC-RAG-CHIMERA

# Install dependencies
pip install -r requirements.txt

# Optional: Install Ollama for LLM integration
# https://ollama.ai

Quick Start

from asic_simulator import GPUHashEngine, IndexManager, KeyGenerator
from rag_system import DocumentProcessor, QueryEngine, BlockStorage

# Initialize components
hash_engine = GPUHashEngine()
index_manager = IndexManager()
key_generator = KeyGenerator(master_key=os.urandom(32))

# Process documents
processor = DocumentProcessor()
blocks = processor.create_blocks("Your document content here")

# Query the system
query_engine = QueryEngine(index_manager, hash_engine)
results = query_engine.search("your query", max_results=5)

Running Tests

# Run all tests
pytest tests/ -v

# Run specific test suite
pytest tests/test_asic_simulator.py -v
pytest tests/test_rag_system.py -v
pytest tests/test_integration.py -v

Test Results: 53/53 tests passing ✓

Benchmarks

# Hash performance benchmark
python benchmarks/hash_performance.py

# Search latency benchmark
python benchmarks/search_latency.py

Demo

# Run the full demo
python asic_rag_chimera.py

Project Structure

ASIC-RAG-CHIMERA/
├── asic_simulator/          # Hardware simulation module
│   ├── gpu_hash_engine.py   # SHA-256 with GPU acceleration
│   ├── index_manager.py     # Tag-based index with AND/OR search
│   └── key_generator.py     # Session and key management
├── rag_system/              # RAG implementation
│   ├── knowledge_block.py   # Block structure with encryption
│   ├── block_storage.py     # LMDB-based persistence
│   ├── document_processor.py # Document ingestion
│   └── query_engine.py      # Search and retrieval
├── llm_interface/           # Ollama integration
├── tests/                   # Comprehensive test suite
├── benchmarks/              # Performance benchmarks
└── ASIC_RAG_CHIMERA_Paper.html  # Academic paper

Documentation

Architecture Document - Detailed system design
Academic Paper - Full research paper with references

Security Model

Attack Vector	Traditional RAG	ASIC-RAG-CHIMERA
Disk Theft	Full exposure	Encrypted blocks
Embedding Inversion	Partial recovery	N/A (no embeddings)
Index Enumeration	Knowledge graph exposed	Opaque hashes only
Key Capture	Permanent access	30-second window
Data Tampering	Undetected	Merkle verification

Requirements

Python 3.10+
PyTorch 2.0+ (optional, for GPU acceleration)
LMDB
cryptography
Ollama (optional, for LLM integration)

Author

Francisco Angulo de Lafuente

GitHub: Agnuxo1
ResearchGate: Francisco-Angulo-Lafuente-3
Kaggle: franciscoangulo
HuggingFace: Agnuxo
Wikipedia: Francisco_Angulo_de_Lafuente

License

MIT License - See LICENSE for details.

Citation

@article{angulo2024asicrag,
  title={ASIC-RAG-CHIMERA: Hardware-Accelerated Cryptographic Framework for Secure Retrieval-Augmented Generation},
  author={Angulo de Lafuente, Francisco},
  year={2024},
  note={Available at: https://github.com/Agnuxo1/ASIC-RAG-CHIMERA}
}