Cluster overview
Last 24 hours · auto-refresh 5s
Documents
0
▲ 12.4k vs yesterday
Edges
0
▲ 38.1k
Queries / sec
0
▲ 8.2%
p95 latency
0
▼ 3.1ms
Queries per minute
1h24h7d
AQLHTTPGraphQL
Collection sizes
Top 6All
Collections
12 collections · 3 edge collections · 9.8 GB total
Name
Type
Documents
Size
Fill
U
usersDocument · indexed: 4
document
412,089
1.2 GB
P
productsDocument · indexed: 6
document
298,154
880 MB
O
ordersDocument · indexed: 5
document
516,233
2.4 GB
F
followsEdge · from users → users
edge
348,991
560 MB
R
reviewsEdge · from users → products
edge
221,440
380 MB
E
eventsDocument · indexed: 2
document
142,008
320 MB
AQL Editor
find-active-pro-users · last run 3s ago · 412 rows
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2
3
4
5
2
3
4
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Results
JSON
Graph
412 docs · 47 ms · cached
Graph: social_commerce
3 vertex collections · 2 edge collections · interactive view
Legend
users 412k
products 298k
orders 516k
follows 348k
reviews 221k
26Visible neighbours
3 hopsTraversal depth
AutoGraph · knowledge extraction
Job ag_8f3c complete · ingested 1,247 docs · 9.2s
Extracted entities
Auto-classified from raw text using multilingual NER.
P
Person412
O
Organisation301
L
Location218
$
Money / Metric156
E
Event104
Discovered relations
Cross-referenced and stored as edges in graph.kg_8f3c.
2,184 edges created across Person → Organisation and Org → Location. Confidence above 0.86 for all.
Deep Search indexed all extracted entities into a unified vector store for natural-language Q&A.
AQLizer is now ready — ask plain English; we translate to graph + vector queries automatically.