Cortex IT case: machinery distributor
Woodworking and metalworking machinery distributor. 130 reps, sales across Russia.
situation
The knowledge base held 11,000 PDF/DOCX/PPTX files and 60 training videos — around 120 GB. Looking up the specs of one machine took a rep several minutes.
task
Answer any question about any machine model in seconds, inside Bitrix24. Everything stays on servers in Russia.
action
A RAG assistant inside the Bitrix24 messenger: Python and FastAPI, Qdrant with hybrid search. Semantic plus BM25 — that combination matters for model numbers like STD-120. Celery handles the queues, all of it in Docker on a Russian VPS.
result
Reps get answers in seconds instead of minutes, in the tool they already use. Onboarding a new rep got shorter too — the assistant answers what a colleague used to.
- Python
- FastAPI
- Gemini 3 Flash
- Qdrant
- Bitrix24
- Docker
- Celery
Delivered: May 2026
Read the case