How I Built a Multilingual AI Call Center on a 4GB VPS Using Django, Neo4j, and Twilio
Dev.to AI
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Generative AI
Open Source AI
AI Research
I spent 18 months building RagLeap. Here's the full technical breakdown of how I got a production RAG system with voice, WhatsApp, and Telegram running on a $8/month VPS. The stack Backend: Django 4.2 + DRF Vector DB: pgvector (PostgreSQL) Graph DB: Neo4j (included on all plans, even free) Queue: Celery + Redis Voice: Twilio + ElevenLabs TTS Messaging: Twilio WhatsApp, Telegram Bot API, Discord AI: Any provider (OpenAI, Gemini, Anthropic, Mistral, private) Server: 4GB RAM VPS (Ubuntu 24) The RAG architecture Standard vector search gets you ~78% retrieval accuracy.