n8n LangChain/LangGraph Qdrant RAG/CAG

.NET 10 (AOT) DDD/CQRS Grafana/Prometheus

grafana.internal.techspherex.ai/d/microservices-overview
System Health Score
99.98%
Qdrant Indexing Latency
12ms
Active AI Agents (n8n)
24 Active
Memory Usage (.NET AOT)
45MB / Pod

grafana.internal.techspherex.ai/d/qdrant-cluster-ops
Cluster Nodes (v1.16.3)
Node 1 UP
Node 2 UP
Node 3 UP
Total Vectors
24.7K
Collections: 3 (Midjourney, Docs...)
REST API Latency (Avg & Max) ● LIVE
Avg Query: 2.68 ms
Max Query: 4.27 ms
Scroll: 4.27 ms

Orchestration: n8n (Advanced Workflows), LangChain, LangGraph

LLM Tech: RAG, CAG (Cache Augmented), Prompt Engineering

Vector DB: Qdrant (Optimization & Scaling)

.NET Ecosystem: C# (Deep Dive), .NET 8/9/10 Preview, Native AOT

Architecture: Microservices, Clean Arch, DDD, CQRS, Event-Driven

Performance: Memory Management, Concurrency, Async/Await patterns

Monitoring: Grafana (Full Stack Dashboards), Prometheus, ELK

Infra: Docker, K8s, Nginx, CI/CD Pipelines

CV Libraries: OpenCV, PaddleOCR, Dlib

LLM Models: LLaMA, DeepSeek, GPT Integration

Applications: eKYC, AutoGate OCR, Face Recognition

Frameworks: Angular, React Native, TypeScript

Integration: REST/gRPC, Kafka, RabbitMQ, N8N

Web3: Web3.js, EVM smart contracts (learning)

Security: SonarQube, Nessus, WAF, AI-based threat detection

Quality: Static Code Analysis, JWT, Identity Management