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RAG-Powered Knowledge Management

Reimagine knowledge management with retrieval-augmented generation, which delivers context-aware answers and intelligent systems from unified data

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Overview

Smarter decision-making with RAG-powered knowledge management. Transform how your organisation learns and acts with knowledge management solutions.

We empower your teams with an intelligent system that provides accurate, context-aware answers sourced directly from your proprietary data—complete with citations for full transparency and trust.

Key Client Challenges

Valuable information scattered across disparate silos
Employees wasting hours searching for information
Risk of using outdated or inconsistent data
Inability to leverage decades of institutional knowledge

How YCP Renoir Helps

Map and consolidate knowledge sources into a unified index
Build and fine-tune a secure RAG pipeline for accurate results
Design an intuitive user interface (search portal or chatbot)
Implement governance to keep content current and reliable

Proposal & Research Assistant for Professional Services

A professional services firm can deploy a Retrieval-Augmented Generation (RAG) assistant to surface relevant case studies, CVs, and documents from internal repositories using natural language queries.

Our Solution
We implemented a RAG-powered assistant that indexes the firm’s entire knowledge repository, including project archives, CRM, and expert databases. Consultants can now ask complex questions in natural language, such as “Find case studies on supply chain optimization for CPG clients in Southeast Asia with a project value over $2M” and receive a synthesized summary with direct links to the source documents.

Productivity Gains: Proposal development time could be halved.
Content Quality: Proposals may improve through better reuse of relevant materials.
Faster Onboarding: New consultants gain instant access to institutional knowledge.

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