Services
RAG-Powered Knowledge Management
Turn your static documents and databases into a dynamic, conversational knowledge engine with Retrieval-Augmented Generation (RAG).
RAG-Powered Knowledge Management
Overview
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- Risk of using outdated or inconsistent data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 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.
Potential Impact
- 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.
