Cost control program
Realizing economies of scale through architectural design:
- Hardware Optimization::
- Single server can support 10 million nodes (tests show RAM consumption <8GB/million nodes)
- Recommended SSDs to accelerate graph traversal
- Deployment Strategy::
- Installing a stable version from PyPi instead of source compilation
- adoption
poetry install --no-devReduced dependency - Use asynchronous task flow limiting (
CONCURRENT_TASK_LIMIT)
- cost comparison::
ballpark Traditional Programs Fast GraphRAG 100,000 nodes $480/month $80/month One million nodes $4200/month $600/month
Actual cases show that the annual O&M cost of a manufacturing knowledge base was reduced from $150,000 to $23,000, the key is through theembedding_dim=512Reduce vector storage overhead.
This answer comes from the articleFast GraphRAG: A Highly Accurate and Low-Cost Graphical Search Enhancement Generation ToolThe
May not be reproduced without permission:AI productivity tools " How to Optimize the Cost of Deploying Fast GraphRAG in a Large-Scale Enterprise Knowledge Base?
