π Data Sources
πΎ Data Stores
π― Apps
π Activity
π₯ Health
βοΈ Admin
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MOCKUP
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π Summary Tab
π§ Gmail Tab
π Drive Tab
π
Calendar Tab
π¬ Messages Tab
π± iPhone Extraction Tab
π Overview Tab
βοΈ Google Storage Tab
ποΈ SQL Tables Tab
π€ OpenAI Vector Store Tab
π§ Pinecone Tab
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πΎ Data Stores Overview
VladGPT uses multiple specialized storage systems to ensure your data is:
Securely stored with redundancy (Google Cloud Storage)
Structured and queryable (Google Cloud SQL/PostgreSQL)
AI-searchable with semantic understanding (OpenAI Vector Store)
Fast vector retrieval for similarity search (Pinecone)
Think of Data Stores as the "where" to Data Sources' "what":
Data Sources = What data comes IN (Gmail, Drive, uploads)
Data Stores = Where data is STORED (GCS, SQL, vectors)
β€οΈ Storage Systems Health
99.99% uptime
4.2 GB / 50 GB
8.4% used
45ms latency
100% uptime
1,247 records
2.3 MB size
120ms latency
99.9% uptime
3.1M vectors
15,234 files
85ms latency
99.95% uptime
2.8M vectors
3 namespaces
π Data Flow & Lineage
β’ Gmail β’ Drive β’ Manual β’ iPhone
β
Pipeline
β’ Upload β’ Process β’ Extract β’ Index
β
Data Stores
β’ GCS (files) β’ SQL (metadata) β’ OpenAI (AI) β’ Pinecone (β‘)
Example: document.pdf uploaded today
β Stored in GCS: gs://vladgpt-storage/uploads/2025/10/16/...
β Indexed in SQL: Record #1248, upload_id: UPL-20251016-001
β Vectorized in OpenAI: file-abc123, vs_xyz789
β Indexed in Pinecone: namespace=user_uploads, id=vec_doc123
π° Storage Costs & Trends
$12.45
βοΈ +$1.20 vs last month (+10.7%)
4.2 GB Γ $0.020/GB
PostgreSQL
db-f1-micro instance
OpenAI Vector Storage
15,234 files
Pinecone
Starter plan
Projection: $15.80/month by end of year
(at current growth rate)