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Text to Knowledge Graph
30 MIN
Transform unstructured text into interactive knowledge graphs with LLM inference and graph visualization
| Symptom | Cause | Fix |
|---|---|---|
| Ollama performance issues | Suboptimal settings for DGX Spark | Set environment variables:OLLAMA_FLASH_ATTENTION=1 (enables flash attention for better performance)OLLAMA_KEEP_ALIVE=30m (keeps model loaded for 30 minutes)OLLAMA_MAX_LOADED_MODELS=1 (avoids VRAM contention)OLLAMA_KV_CACHE_TYPE=q8_0 (reduces KV cache VRAM with minimal performance impact) |
| VRAM exhausted or memory pressure (e.g. when switching between Ollama models) | Linux buffer cache consuming GPU memory | Flush buffer cache: sudo sync; sudo sh -c 'echo 3 > /proc/sys/vm/drop_caches' |
| Slow triple extraction | Large model or large context window | Reduce document chunk size or use faster models |
| ArangoDB connection refused | Service not fully started | Wait 30s after start.sh, verify with docker ps |
NOTE
DGX Spark uses a Unified Memory Architecture (UMA), which enables dynamic memory sharing between the GPU and CPU. With many applications still updating to take advantage of UMA, you may encounter memory issues even when within the memory capacity of DGX Spark. If that happens, manually flush the buffer cache with:
sudo sh -c 'sync; echo 3 > /proc/sys/vm/drop_caches'