Abhishek Saxena
Systems/01 · Enterprise Retrieval
I01 / 08

Enterprise Retrieval Platform

Grounded answers over a living knowledge base at production scale: retrieval design, guardrails, and the economics of getting support right.

Hospitality group2024 – 2025Case studyDocs openDemo by arrangement
RoleArchitect · sole builder of the reimplementation
Built forHospitality group
StackFastAPI · Qdrant · vLLM · Qwen3 · Redis · Kubernetes
What is realDownscaled reimplementation
DataSynthetic corpus, production distribution

Walkthrough

01 · public
00:0005:10

A guided walkthrough of the Enterprise Retrieval Platform demo on synthetic data: how the flow runs end to end and how the console is operated. Recording in progress; the chapters outline what it covers.

Chapters
  • 00:00The support portal, three contexts
  • 01:05A grounded answer with citations
  • 02:20Clarify and escalate paths
  • 03:40Behind the scenes: the nine‑stage trace
  • 05:10Operating the console

Live demo

03 · by arrangement
Signed out

Run the Enterprise Retrieval demo.

A downscaled reimplementation of the production system on synthetic data, with a console and an inspector. Credentials are issued personally and expire.

What you will be able to do
  • iAsk as a portal user, field inspector or internal admin
  • iiOpen any citation to its source passage
  • iiiTrigger a clarify and an honest escalation
  • ivWatch cost move on the cloud/open‑source toggle

What is real here

04 · reality contract
Architecture

Downscaled reimplementation. The design, models and control flow are the ones that ran in production, rebuilt at a scale one machine can run.

Data

Synthetic corpus, production distribution. No customer data anywhere; generated sets that reproduce the real distributions.

Integrations

Portal and ticketing simulated. Stand‑ins are labelled as stand‑ins, in the demo and in the docs.