Welcome to AresaDB Studio

High-performance multi-model database for healthcare ML research

Total Nodes

287,493

+12.5%

Total Edges

1.2M

+8.3%

Avg Query Time

0.42ms

-23%

Vector Searches

45,291

+156%

Query Performance

Response times over the last 24 hours

23% faster

SQL Queries

Vector Search

Graph Traversal

Quick Actions

Run SQL Query

Execute SQL against your data

Vector Search

Semantic similarity search

RAG Pipeline

Query documents with AI

Import Data

Load CSV, JSON, or Parquet

Healthcare ML Datasets

Pre-loaded datasets demonstrating AresaDB capabilities

Medical Transcriptions

Clinical notes and medical reports for NLP analysis

RAGNLPHealthcare

5.0K nodes

12.8K edges

Drug Reviews

Patient reviews of medications with conditions and ratings

SentimentGraphLarge

215.1K nodes

892.3K edges

Heart Disease UCI

Classic ML dataset for cardiovascular disease prediction

ClassificationTabular

303 nodes

1.5K edges

PubMed Abstracts

Research paper abstracts for semantic search

VectorResearchRAG

67.2K nodes

234.9K edges

Recent Queries

Your latest database operations

sql•2 min ago

SELECT * FROM drug_reviews WHERE condition = 'Diabetes' ORDER BY rating DESC LIMIT 10

0.34ms10 rowsSuccess

vector•5 min ago

VECTOR SEARCH 'cardiac arrhythmia treatment options' FROM medical_transcriptions LIMIT 5

1.23ms5 rowsSuccess

sql•12 min ago

SELECT p.name, COUNT(r.id) as review_count FROM patients p JOIN drug_reviews r ON p.id = r.patient_id GROUP BY p.name

2.45ms1247 rowsSuccess

graph•18 min ago

TRAVERSE FROM node:patient_001 VIA 'prescribed' TO 'drug' DEPTH 2

0.89ms23 rowsSuccess

vector•24 min ago

VECTOR SEARCH 'symptoms of heart failure with preserved ejection fraction' FROM pubmed_abstracts

1.56ms10 rowsSuccess