AUTOMATION

AI Agent-Powered Electronic Component Search

Use Claude Sonnet to query 130k+ component properties for PCB design

Updated: 6/12/2026
Difficulty
hard
Time
minutes
Use Case
Reduce PCB component specification search time from hours to minutes by leveraging AI agents to navigate complex multi-parameter databases
Popularity
0 views

About this automation

Stillwind Search uses an AI agent (Claude Sonnet) to interactively query a PostgreSQL database containing 130k+ component properties extracted via LLM. Users provide broad specifications; the agent finds matching parts. A verification model validates results before display. Frontend uses SvelteKit + Cloudflare Workers; backend runs PostgreSQL 18 with io_uring on NVMe.

How to implement

1

Extract component parameters into 1000+ schemas using LLMs

2

Normalize and store properties in PostgreSQL with 130k+ total properties

3

Build interactive query interface with SvelteKit frontend

4

Deploy Claude Sonnet agent to handle natural language specification queries

5

Add verification model to validate results before returning to user

6

Optimize database queries for low-latency interactive search