GPU-Accelerated Document Intelligence
Production-ready RAG system with CUDA optimization, adaptive retrieval strategies, and enterprise-grade deployment. Built for speed, scale, and precision.
Enterprise-grade capabilities that power mission-critical applications
Combines semantic similarity with BM25 keyword matching for optimal recall and precision
Role-based access control, comprehensive audit logging, and SOC 2 compliance ready
Prometheus metrics, Grafana dashboards, and distributed tracing for full observability
Docker containers, Kubernetes manifests, and auto-scaling configurations included
Get Apollo running in under 5 minutes:
# Clone the repository
git clone https://github.com/zhadyz/tactical-rag-system.git
cd tactical-rag-system
# Launch with Docker Compose (includes GPU support)
docker compose up -d
# Upload your first document
curl -X POST http://localhost:8000/upload \
-F "file=@document.pdf" \
-H "Authorization: Bearer your-api-key"
# Ask a question
curl -X POST http://localhost:8000/query \
-H "Content-Type: application/json" \
-d '{"query": "What is the main topic?"}'See the Getting Started guide for detailed instructions.
Enterprise-grade architecture with careful optimization at every layer
Desktop App (Tauri) • Web UI (React) • REST API • WebSocket
Authentication • Rate Limiting • Request Validation
Query Analysis • Adaptive Retrieval • Response Generation
FAISS/Milvus
CUDA/cuBLAS
PDF/DOCX/TXT
Four core principles that set us apart from traditional RAG frameworks
Unlike frameworks that claim GPU support but run most operations on CPU, Apollo leverages CUDA for every compute-intensive operation: embeddings, similarity search, re-ranking, and token generation.
Learn about our GPU architectureApollo analyzes query complexity in real-time and automatically adjusts retrieval strategies, chunk sizes, and re-ranking depth to optimize both latency and accuracy. No manual tuning required.
Explore adaptive strategiesBuilt-in metrics, tracing, and profiling at every layer. Know exactly what's happening in your RAG pipeline with OpenTelemetry integration and custom performance dashboards.
View monitoring featuresMulti-tenant architecture, role-based access control, comprehensive audit logging, and compliance features designed for regulated industries and enterprise deployments.
See security featuresApollo consistently outperforms popular RAG frameworks in real-world benchmarks
| System | Latency (P95) | Throughput | Accuracy | GPU Utilization |
|---|---|---|---|---|
ApolloBest | 127ms | 450 q/s | 94.2% | 88% |
| LangChain | 892ms | 67 q/s | 89.1% | 23% |
| LlamaIndex | 654ms | 102 q/s | 91.3% | 41% |
| Haystack | 543ms | 134 q/s | 90.7% | 35% |
Benchmark conditions: 100K document corpus, NVIDIA A100 40GB, concurrent queries, mixed complexity
View detailed benchmark methodology and reproduce resultsGet started with Apollo and explore the resources available
Comprehensive guides, API references, and tutorials for every use case
Star the repo, report issues, and contribute to the future of RAG systems
SLA guarantees, custom features, dedicated support, and deployment assistance