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Work

Flux Labs

Enterprise KnowledgeBase

Category
RAG & Search
Year
2025
Client
Flux Labs

The challenge

Flux's engineering and operations teams had documentation scattered across Notion, Confluence, internal Slack threads, and legacy PDFs. Search was keyword-only and routinely returned stale or irrelevant pages.

What we built

We built an ingestion pipeline that continuously syncs from all their source systems, chunks and embeds documents, and surfaces results through a semantic search interface. Answers are grounded with inline citations so engineers can verify sources. The interface also supports follow-up questions within a session, turning one-off searches into genuine knowledge conversations.

Impact

Faster time-to-answer vs. keyword search

12k+

Documents indexed across 4 source systems

91%

Query satisfaction rate in internal survey

Zero

Hallucinated answers (all grounded in sources)

Next project

Document Intelligence Platform

Meridian AI