SOL-05

Sovereign RAG, Agent & MLOps Platform Open Source

Founder/CEO — Alfalah AI career-intelligence SaaS, 19 modules, 195 countries.

Business Problem

A self-hostable, vendor-neutral AI platform (powers Alfalah across 195 countries at 50× lower cost).

End-to-End Architecture

flowchart LR
  SRC["Documents · APIs · user data"] --> EMB["Embeddings"]
  EMB --> VDB["Vector stores
Qdrant · Weaviate · Milvus · pgvector · FAISS"]
  VDB --> RAG["RAG + agents
LangChain · LlamaIndex · Haystack · DSPy"]
  RAG --> SERVE["Serving
vLLM · Triton · KServe · Ollama · llama.cpp"]
  SERVE --> APP["Apps / APIs (FastAPI · Next.js)"]
  RAG --> GW["Gateways
LiteLLM · Portkey · OpenRouter"]
  MLO["MLOps
MLflow · Kubeflow · W&B · DVC · ZenML"] -.-> RAG
  OBS["Observability
Langfuse · Arize Phoenix · LangSmith"] -.-> SERVE
  K8S["Kubernetes · Docker · Helm"] -.-> SERVE

Workflow (Proof of Concept, A→Z)

sequenceDiagram
  participant U as User
  participant APP as FastAPI/Next.js
  participant RAG as LangGraph RAG
  participant VDB as Qdrant
  participant LLM as vLLM / Ollama
  U->>APP: request (19 AI modules)
  APP->>RAG: orchestrate
  RAG->>VDB: hybrid retrieve
  VDB-->>RAG: context
  RAG->>LLM: generate (multi-model routing)
  LLM-->>U: result (prompt-cached, evaluated)