Project overview
Developed a secure Retrieval-Augmented Generation (RAG) system to transform internal documents into an AI-powered knowledge assistant.
The challenge of project
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Employees spent hours searching through scattered documents and reports, causing inefficiencies and delayed decision-making.
What we Built
- Document ingestion (PDF, Word, internal reports)
- Vector database indexing
- Hybrid semantic + keyword search
- Role-based access control
- Secure LLM integration
Impact
- 60% faster knowledge retrieval
- Reduced dependency on manual document search
- Improved employee productivity