Generate Complete Database Schemas with Claude for SQL Databases โ€” n8n ์›Œํฌํ”Œ๋กœ

๋†’์Œ ๋ณต์žก๋„โšก ํŠธ๋ฆฌ๊ฑฐ20๊ฐœ์˜ ๋…ธ๋“œโœจ AI๐Ÿ‘ 258ํšŒ ์กฐํšŒ์ž‘์„ฑ์ž: Evervise

๊ฐœ์š”

Transform database design from weeks to minutes with this intelligent multi-agent system. Perfect for agencies, consultancies, and SaaS companies offering database architecture as a lead magnet or service.

๐Ÿค– 4 Specialized AI Agents: Agent 1 (Architect):** Designs complete schema with tables, relationships, indexes Agent 2 (Reviewer):** Validates design for performance, security, scalability Agent 3 (Optimizer):** Adds advanced features and scores the design (0-100) Agent 4 (SQL Generator):** Cr

์‚ฌ์šฉ๋œ ๋…ธ๋“œ

PostgresAI AgentAnthropic Chat Model

์›Œํฌํ”Œ๋กœ ๋ฏธ๋ฆฌ๋ณด๊ธฐ

๐Ÿ“ Form Intake
User fills database requirements
โš™๏ธ Customization Options:
- Add more fields for specific industries
- Add file upload for existing schema
- Add budget field for pricing tier
๐Ÿ”ง Setup Phase
Prepares data for agent pipeline
โš™๏ธ Customization:
- Store user data in CRM here
- Log to analytics (Mixpanel/Segment)
- Add user identification/tracking
๐Ÿค– Agent 1: Architect
Creates initial schema design
โš™๏ธ Model Config:
- Temp: 0.3 (creative but consistent)
- Max tokens: 4000
๐ŸŽจ Customization:
๐Ÿค– Agent 2: Reviewer
Quality control & validation
โš™๏ธ Model Config:
- Temp: 0.1 (strict & analytical)
- Max tokens: 3000
๐ŸŽจ Customization:
๐Ÿค– Agent 3: Optimizer
Final polish & scoring
โš™๏ธ Model Config:
- Temp: 0.5 (balanced creativity)
- Max tokens: 3500
๐ŸŽจ Customization:
๐Ÿ”„ Quality Gate
Ensures high-quality output
โš™๏ธ Current Logic:
- A/B grades โ†’ Proceed โœ…
- C/D/F grades โ†’ Retry (max 3x)
๐ŸŽจ Customization:
๐Ÿ” Retry Loop
Iterative improvement system
โš™๏ธ Current: Max 3 attempts
๐ŸŽจ Customization:
- Increase max retries for complex projects
- Add different agents for retries
๐Ÿค– Agent 4: SQL Generator
Converts schema to executable SQL
โš™๏ธ Model Config:
- Temp: 0.2 (precision critical)
- Max tokens: 4000
๐ŸŽจ Customization:
โœ… Execution Validation
Handles success & failures gracefully
โš™๏ธ Current Behavior:
- Success โ†’ Full response
- Failure โ†’ Script + error details
๐ŸŽจ Customization:
๐Ÿš€ Workflow Overview
AI Database Architect - Multi-Agent System
๐Ÿ“Š Performance:
- Average time: 60-90 seconds
- Success rate: ~85% first attempt
- Cost per run: ~$0.15-0.30
Query Execute
If you are using PostgreSQL this will automatically run
๐Ÿš€ Built by Evervise
Automating the repetitive so you can focus on what matt
Need Help?
๐Ÿ“ง Support: [email protected]
๐ŸŒ Website: evervise.ai
๐Ÿ’ฌ Re
modelmodelmodelmodel
I
Initialize Variables
Architect Model
Reviewer Model
Optimizer Model
Agent 1: Database Architโ€ฆ
Agent 2: Schema Reviewer
Agent 3: Optimizer & Scoโ€ฆ
T
Track Iteration
SQL Generator Model
Agent 4: Generate SQL Scโ€ฆ
S
Success Response
E
Error Response
M
Max Iterations Reached
I
Is Score A or B?
C
Can Retry?
F
Form
Execute SQL in PostgreSQL
โšก
F
Form Submission
I
If User Is Using Excel
F
Form End Without Execute
20 nodes22 edges

์ž‘๋™ ์›๋ฆฌ

  1. 1

    ํŠธ๋ฆฌ๊ฑฐ

    ์›Œํฌํ”Œ๋กœ๋Š” ํŠธ๋ฆฌ๊ฑฐ ํŠธ๋ฆฌ๊ฑฐ๋กœ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค.

  2. 2

    ์ฒ˜๋ฆฌ

    ๋ฐ์ดํ„ฐ๊ฐ€ 20๊ฐœ์˜ ๋…ธ๋“œ๋ฅผ ํ†ตํ•ด ํ๋ฆ…๋‹ˆ๋‹ค, connecting agent, form, formtrigger.

  3. 3

    ์ถœ๋ ฅ

    ์›Œํฌํ”Œ๋กœ๊ฐ€ ์ž๋™ํ™”๋ฅผ ์™„๋ฃŒํ•˜๊ณ  ๊ตฌ์„ฑ๋œ ๋Œ€์ƒ์— ๊ฒฐ๊ณผ๋ฅผ ์ „๋‹ฌํ•ฉ๋‹ˆ๋‹ค.

๋…ธ๋“œ ์„ธ๋ถ€ ์ •๋ณด (20)

PO

Postgres

postgres

#1
AI

AI Agent

n8n-nodes-langchain.agent

#2
AN

Anthropic Chat Model

n8n-nodes-langchain.lmChatAnthropic

#3

์ด ์›Œํฌํ”Œ๋กœ ๊ฐ€์ ธ์˜ค๋Š” ๋ฐฉ๋ฒ•

  1. 1์˜ค๋ฅธ์ชฝ์˜ JSON ๋‹ค์šด๋กœ๋“œ ๋ฒ„ํŠผ์„ ํด๋ฆญํ•˜์—ฌ ์›Œํฌํ”Œ๋กœ ํŒŒ์ผ์„ ์ €์žฅํ•ฉ๋‹ˆ๋‹ค.
  2. 2n8n ์ธ์Šคํ„ด์Šค๋ฅผ ์—ด๊ณ  ์›Œํฌํ”Œ๋กœ โ†’ ์ƒˆ๋กœ ๋งŒ๋“ค๊ธฐ โ†’ ํŒŒ์ผ์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค.
  3. 3๋‹ค์šด๋กœ๋“œ๋œ generate-complete-database-schemas-with-claude-for-sql-databases ํŒŒ์ผ์„ ์„ ํƒํ•˜๊ณ  ๊ฐ€์ ธ์˜ค๊ธฐ๋ฅผ ํด๋ฆญํ•ฉ๋‹ˆ๋‹ค.
  4. 4๊ฐ ์„œ๋น„์Šค ๋…ธ๋“œ์— ๋Œ€ํ•œ ์ž๊ฒฉ ์ฆ๋ช…๏ผˆAPI ํ‚ค, OAuth ๋“ฑ๏ผ‰์„ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค.
  5. 5์›Œํฌํ”Œ๋กœ ํ…Œ์ŠคํŠธ๋ฅผ ํด๋ฆญํ•˜์—ฌ ๋ชจ๋“  ๊ฒƒ์ด ์ž‘๋™ํ•˜๋Š”์ง€ ํ™•์ธํ•œ ํ›„ ํ™œ์„ฑํ™”ํ•ฉ๋‹ˆ๋‹ค.

๋˜๋Š” n8n โ†’ JSON์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ์— ์ง์ ‘ ๋ถ™์—ฌ๋„ฃ๊ธฐ:

{ "name": "Generate Complete Database Schemas with Claude for SQL Databases", "nodes": [...], ...}

ํ†ตํ•ฉ

agentformformtriggeriflmchatanthropicpostgresset

์ด ์›Œํฌํ”Œ๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ

ํ•œ ๋ฒˆ์˜ ํด๋ฆญ์œผ๋กœ ๋‹ค์šด๋กœ๋“œ ๋ฐ ๊ฐ€์ ธ์˜ค๊ธฐ

JSON ๋‹ค์šด๋กœ๋“œn8n.io์—์„œ ๋ณด๊ธฐ
๋…ธ๋“œ20
๋ณต์žก๋„high
ํŠธ๋ฆฌ๊ฑฐtrigger
์กฐํšŒ์ˆ˜258
์นดํ…Œ๊ณ ๋ฆฌAI

์ œ์ž‘์ž

Evervise

Evervise

@evervise

ํƒœ๊ทธ

agentformformtriggeriflmchatanthropicpostgresset
โšก

n8n์„ ์ฒ˜์Œ ์‚ฌ์šฉํ•˜์‹œ๋‚˜์š”?

n8n์€ ๋ฌด๋ฃŒ ์˜คํ”ˆ์†Œ์Šค ์›Œํฌํ”Œ๋กœ ์ž๋™ํ™” ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ์ž์ฒด ํ˜ธ์ŠคํŒ…ํ•˜๊ฑฐ๋‚˜ ํด๋ผ์šฐ๋“œ ๋ฒ„์ „์„ ์‚ฌ์šฉํ•˜์„ธ์š”.

n8n ๋ฌด๋ฃŒ๋กœ ์‹œ์ž‘ํ•˜๊ธฐ โ†’

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