Authors
Published
29 Sep 2026Form Number
LP2544PDF size
56 pages, 1.2 MBAbstract
This document describes a validated deployment of Lenovo Hybrid AI Platform 201 with Open-Source RAG. The solution combines Lenovo ThinkSystem infrastructure, Intel Xeon 6 processors, Ubuntu, Canonical Kubernetes, and open-source software to run document-grounded AI inference on CPU-based infrastructure.
It covers the architecture, deployment steps, and performance of an end-to-end RAG workflow, from document ingestion and hybrid search to reranking and answer generation. Performance testing with a representative enterprise document corpus demonstrated responsive performance at moderate concurrency and identified embedding and reranking as the primary retrieval-stage constraints as demand increases.
The validated configuration provides a repeatable starting point for organizations planning private enterprise AI deployments, with final production sizing to be validated against the intended workload and server configuration.
Table of Contents
Introduction
Challenges and Opportunities
Solution Overview
Deployment Overview
Performance Validation
Solution Summary
Appendix A: Lenovo Bill of materials (BOM)
Appendix B: Deployment Procedure - Details
Appendix C: RAG Pipeline Service Reference Implementation
Appendix D: Abbreviations
Resources
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