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53 lines
1.7 KiB
Markdown
53 lines
1.7 KiB
Markdown
---
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title: AI Applications Pipeline
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created: 2026-04-28
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updated: 2026-04-28
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type: concept
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tags: [concept, ai, services]
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sources: [../../homelab/architecture.md]
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---
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# AI Applications Pipeline
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Local AI/ML stack running on ubuntu with GPU acceleration (GTX 1080 8GB), plus AI-powered applications that use LLM inference.
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## Core AI Infrastructure
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| Service | URL | Purpose |
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|---------|-----|---------|
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| Ollama | localhost:11434 | Local LLM inference (GPU via GTX 1080) |
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| Qdrant | ubuntu:6333 | Vector database for OpenCode cluster memory |
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| Faster Whisper Server | — | Speech-to-text (Whisper) |
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## AI Applications (7 containers)
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| Application | Description |
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|-------------|-------------|
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| AI Job Pipeline (backend + frontend) | AI task orchestration |
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| AI Alert Aggregator (backend + frontend + postgres) | Alert intelligence |
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| AI Media Intelligence (backend) | Media analysis |
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| AI Subscriptions | Subscription management |
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| Homelab Inventory (backend) | Infrastructure inventory |
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## Immich ML
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| Component | Description |
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|-----------|-------------|
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| Immich Server | Photo/video management |
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| Immich ML | Machine learning on GPU |
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| Immich Postgres | Dedicated PostgreSQL (pgvecto-rs extension) |
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| Immich Redis | Caching |
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## OpenCode Embeddings
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OpenCode instances across the cluster use:
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- **Ollama** — generating embeddings for vector memory
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- **Qdrant** — storing shared vector memory across OpenCode cluster
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## Related
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- [[opencode-cluster]] — OpenCode cluster using this AI infrastructure
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- [[ubuntu]] — Hosts GPU (GTX 1080) and all AI services
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- [[jellyfin]] — Media server with AI features
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- [[../../homelab/docs/ai-applications.md]] — AI applications documentation
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