GraphRAG · Scale Edition
Financial
Intelligence
100M+ Token Source Data → 692 Node Knowledge Graph: LLM-Only vs Basic RAG vs TigerGraph GraphRAG
TigerGraph Cloud (Savanna)
⚙ TigerGraph Cloud Config
Cluster Host
Graph Name
RESTPP Token
GraphRAG Query Name
LLM Provider
Google (Gemini 2.5 Flash)
LLM API Key
RUN
P1
LLM-Only
No retrieval · baseline
IDLE
Response will appear here…
Tokens
—
Latency
—
Cost/query
—
Groundedness F1
—
LLM Judge
—
Retrieval
None
P2
Basic RAG
Vector embeddings · baseline
IDLE
Response will appear here…
Tokens
—
Latency
—
Cost/query
—
Groundedness F1
—
LLM Judge
—
Retrieval
Vector
P3
GraphRAG
TigerGraph Cloud · multi-hop
IDLE
Response will appear here…
Tokens
—
Latency
—
Cost/query
—
Groundedness F1
—
LLM Judge
—
Retrieval
Graph
Baseline tokens (RAG)
—
—
Token reduction
—
vs Basic RAG
Cost saving / query
—
GraphRAG vs RAG
Groundedness delta
—
Context Faithfulness F1
▶ Request log
⚡ TigerGraph Cloud Setup (from your guide)
1
Create account
at
tgcloud.io
via email or GitHub, verify, log into dashboard.
2
Create a cluster
— click "Create Cluster", choose Free Tier, pick your region, name it.
3
Open GraphStudio
— Tools → GraphStudio. Design your schema (vertices + edges).
4
Load data
via CSV upload + Loading Jobs, or REST / pyTigerGraph.
5
Write GSQL query
, install it — this generates a REST endpoint automatically.
6
Generate RESTPP token
in Admin Portal → User Management → paste it above.
7
Endpoint format:
https://<cluster>.i.tgcloud.io/query/<GRAPH>/<QUERY>
8
Test in Postman
with GET +
Authorization: Bearer YOUR_TOKEN
before wiring here.