KNOWLEDGE
Git-backed wiki
Support material stays editable with a reviewable version history.
MAINTAINED CONTENTPRIOR BRIO TEAM PRODUCT / KNOWLEDGE SYSTEMS

A support library that brings maintained product knowledge and conversational search into one place—so answers can point back to the material behind them.
Follow the system
PRODUCT BRAND ART / NOT A SCREENSHOTTHE CONTEXT
Support teams work across manuals, troubleshooting notes, and product guidance. Briopedia was built as an internal knowledge system: a versioned wiki for maintaining material, plus retrieval and chat for bringing relevant sources into a question.
This is prior Brio team product experience. It is not a Teregon client engagement, and no business outcome is attributed here.
01 / THE SYSTEM
Each layer has a distinct job: keep knowledge editable, find relevant passages, then use those sources to inform a response.
KNOWLEDGE
Support material stays editable with a reviewable version history.
MAINTAINED CONTENTRETRIEVAL
Relevant passages are retrieved from the knowledge corpus for a question.
SOURCE CONTEXTRESPONSE
A provider-agnostic layer can use local or cloud models with retrieved context.
LOCAL OR CLOUDNext.js interface · FastAPI async backend · FAISS retrieval · Docker Compose deployment
02 / THE EXPERIENCE
The system connects support questions with maintained material. These interface sketches explain the workflow; they are illustrative diagrams, not captures of the signed-in application.
A response concept grounded in retrieved passages from the maintained knowledge base.
SOURCE · KNOWLEDGE ARTICLE03 / WHY THE ARCHITECTURE MATTERS
Support material lives in a wiki that can be edited and reviewed over time.
FAISS search finds relevant corpus material to provide context to the chat layer.
The provider-agnostic design supports local or cloud model options behind the backend.
BRIOPEDIA BRAND ILLUSTRATION04 / BUILD NOTES
The interface, API, searchable knowledge, and model connection are packaged as a Docker Compose deployment. The architecture keeps the library and answer workflow connected while leaving the model provider replaceable.
Architecture summary from verified project documentation. No performance, revenue, or customer-impact figures are claimed.
TEREGON / APPLIED AI + SOFTWARE
We bring this experience into new conversations about grounded search, support workflows, and software built around real operations.