VI // TIẾNG VIỆT
DIFY-RAG // Enterprise RAG & AI Workflows

Dify.ai Self-Hosted RAG Stack Sizing (PostgreSQL, Redis, Qdrant & BGE-M3) — VRAMForge

VRAMForge Blueprint: Dify Community Edition spins up 9+ microservices (API, Worker, Web, Sandbox, SSRF Proxy, Postgres, Redis, Vector DB, Nginx) requiring disciplined RAM sizing before you even load an LLM. We model the tensor weights, 16K KV-cache buffers, and capacity-matched vendor tiers below using public specifications retrieved on 2026-11-12.

Load DIFY-RAG Preset in VRAMForge Workbench →

VRAMForge Tensor Weights & 16K KV-Cache Matrix for DIFY-RAG

Stack Variant Core Weights 16K KV / Runtime Minimum Safe Tier Roofline Speed
Dify Core Only (External LLM API) 0 GB Local LLM N/A 8 GB RAM (Hostinger KVM 2) API Bound
Dify + Local BGE-M3 + Reranker 2.4 GB Embed/Rerank 0.8 GB 16 GB RAM (Hostinger KVM 4) Sub-180ms Retrieval
Dify + Ollama 8B + Qdrant Full Stack 7.3 GB Combined 3.1 GB 32 GB RAM (KVM 8 / UltaHost VDS) 13–16 tok/s E2E
Dify + 14B/32B Local + 1M Vectors 12–23 GB Combined 5.6 GB 64 GB UltaHost VDS / Vultr L40S 9–45 tok/s E2E

VRAMForge CLI Bootstrap & KV-Cache Tuning for DIFY-RAG

# Deploy Dify Community Edition with Qdrant vector backend
git clone https://github.com/langgenius/dify.git --branch main --depth 1
cd dify/docker
cp .env.example .env
sed -i 's/^VECTOR_STORE=.*/VECTOR_STORE=qdrant/' .env
docker compose up -d

Capacity-Matched Hosts for DIFY-RAG (2026-11-12 Tariffs) — VRAMForge

TIER #1 // VDS-DDR5

UltaHost Dedicated VDS & Bare-Metal (64GB–192GB DDR5) — VRAMForge

Zero CPU Steal Dedicated VDS (32GB–128GB+ DDR5) for 32B/70B GGUF & Enterprise RAG (2026-11-12)

Deploy UltaHost ($37.5+/mo) via VRAMForge →
ALT TIER // EPYC-KVM8

Hostinger KVM NVMe VPS (Ollama & Docker AI Templates) — VRAMForge

Up to 67% OFF + Extra 20% Partner Discount (Up to 32GB DDR5 RAM + 1-Click Ollama/n8n) (2026-11-12)

Deploy Hostinger ($4.99+/mo) via VRAMForge →
ALT TIER // NVIDIA-GPU

Vultr Cloud GPU (NVIDIA A16 / L40S / A100 / H100) & HF NVMe — VRAMForge

Fractional & Dedicated NVIDIA Cloud GPUs (16GB–80GB VRAM) • Hourly Billing in SG & Tokyo (2026-11-12)

Deploy Vultr ($24+/mo) via VRAMForge →

VRAMForge Engineering Q&A for DIFY-RAG