How Silicon Labs deploys Kapa across docs, support, and internal teams
“We have Kapa agents live on our website, documentation, support form and MCP, which address thousands of customer queries daily and helps users navigate our extensive product documentation.”
Radhika Chennakeshavula
Chief Information Officer
Challenge
The right answer to a developer question is spread across docs, datasheets, SDK references, GitHub samples, and historical tickets, and that content grows faster than any team can curate.
Solution
Use Kapa as the answer layer across website, docs, support form, and MCP server, with every surface running on the same connected knowledge base, staying in sync with changes.
Results
Thousands of customer queries addressed daily across four surfaces
82% support ticket deflection rate
91,000+ support hours saved
Over 40% of queries answered in non-English languages
Over 75% of users found answers helpful
Website Agent
Cited answers on silabs.com product pages
A chat agent embedded with one script tag that answers questions from your documentation, anywhere on your site. Silicon Labs runs it on silabs.com product pages, so visitors confirm protocol and feature support without leaving for the docs.
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Documentation Agent
Part, protocol, and SDK version in one answer
The same agent deployed on your docs site, answering natural-language questions with links back to source. On docs.silabs.com it assembles answers that span a part, a protocol stack, and an SDK version, staying current as Series 2 and 3 parts evolve.
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Support Form Agent
Repeat tickets resolved directly in the form
An agent that sits in your existing support form and suggests an answer before the ticket is filed, escalating with full context when it can't help. Silicon Labs runs it at the community support intake, deflecting the repeat questions its knowledge base already covers.
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MCP Server
SDK and register context for coding agents
A hosted MCP server connected to your knowledge base, added to Cursor, Claude Code, or ChatGPT in one click. Silicon Labs uses it to ground coding agents in its SDKs, APIs, and hardware specifics, where a wrong register costs real debugging time.
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Why Kapa
Every deployment runs on the same corpus and answer engine, so answers on the website, in the docs, at the support form, inside a coding agent, or in Slack stay consistent and traceable to source.
Silicon Labs adds a surface without rebuilding its knowledge base, and updates reach every agent at once. That is how a lean documentation and support organization keeps pace with an expanding product line while addressing thousands of queries a day.
