Problems / RAG and retrieval, hard
The GraphRAG index answers questions and absorbs entity extraction from new documents at the same time, at 1,500 operations a second.
Free to open. Runs in your browser, no sign-up.
Success ≥ 99%, p99 ≤ 5 s.
1,500 requests a second for 30 seconds: 100% request (reads).
What each component does in this design, and what calls it. The simulator mimics each one from these settings.
| Component | Its job here | Settings |
|---|---|---|
| Load balancerLoad balancer | Traffic enters here.Calls AI app.Layer 4 balancers route by IP and port; layer 7 balancers read HTTP and can route by path or header. | – |
| AI appApp service | Load balancer forwards to it.Calls GraphRAG index.Little's law: throughput ≈ concurrency ÷ latency. 200 slots at 50 ms serve about 4,000 req/s. | 3 replicas × 500 slots · timeout 30 s |
| GraphRAG indexGraphRAG index | AI app calls it.GraphRAG builds a knowledge graph from documents so multi-hop questions can follow relationships. | 64 slots |
Try it first. Open one hint at a time if you get stuck.
Ingestion and queries share CPU.
Follow one question through each retrieval stage; the stage that turns red is the one to fix first.
Add GraphRAG capacity (or separate the build from serving).