01 / Knowledge Foundation

Semiconductor knowledge infrastructure built for Agents

Compile datasheets, SDKs, application notes, code, and expert know-how into maintainable, traceable industry knowledge that multiple Agents can share.
Try LLM Wiki

LIVE DEMO / AVAILABLE NOW

Barbot Selection Library is live

This is the public LLM Wiki demo for automotive and industrial analog selection. Ask about end applications, vendor comparisons, key specs, or teardown evidence—answers come with sources.

TI or ADI for OBC isolation drivers? What are the key specs of UCC21520? Any MPS traction-inverter design-ins?
Open the full LLM Wiki workspace → Book a private knowledge base
Barbot Selection Library / LLM Wiki workspace Click to open the workspace →

THE PROBLEM

The problem companies face

Technical materials are scattered across websites, shared drives, repos, tickets, and personal experience—with conflicting versions and hard-to-find evidence.

THE SOLUTION

Barbot's approach

LLM Wiki turns chips, parameters, peripherals, APIs, SDKs, designs, and engineering conclusions into connected knowledge objects, giving Agents full context instead of isolated snippets.

HOW IT WORKS

How it works

  1. Ingest and structure source materials
  2. Compile knowledge and relationships
  3. Link conclusions to evidence
  4. Expert review and ongoing updates

CAPABILITIES

Capabilities

  • Unified multi-source content management
  • Part number, version, and validity control
  • PDF, web, SDK, code, and table parsing
  • Conflict detection with human review
  • Enterprise permissions, private deploy, and isolation

VALUE

Value

  • Higher answer accuracy and traceability
  • Turn expert experience into reusable assets
  • One knowledge foundation for every Agent

FOR WHO

Who it's for

Semiconductor vendors, distributors, design houses, and engineering orgs with large technical corpora

BARBOT / NEXT STEP

Ask questions against a governed chip knowledge base

Try LLM Wiki