AI Knowledge Assistant (RAG System)

Prototype: an AI assistant that answers questions from internal documents, so people spend less time searching for information.

Prototype: an AI assistant that answers questions from internal documents, so people spend less time searching for information.

About the project

I built this system to address inefficiencies caused by scattered information across documents and platforms. The assistant allows users to ask questions and receive accurate, context-aware answers based on stored data.

I built this system to address inefficiencies caused by scattered information across documents and platforms. The assistant allows users to ask questions and receive accurate, context-aware answers based on stored data.

Client:

FORYN Tech (prototype)

Services:

AI Automation

Project Details

The system uses a Retrieval-Augmented Generation (RAG) approach, combining document retrieval with AI-generated responses. It is designed for internal use cases such as company knowledge bases and support documentation.

Things I Did

• Built document ingestion and retrieval pipeline
• Implemented semantic search for accurate information retrieval
• Designed prompt structures for context-aware responses
• Organized data flow for efficient querying
• Structured system for scalability and business use

Miracle Akintunde · Business Technology & Automation Specialist · Lagos, Nigeria

Miracle Akintunde · Business Technology & Automation Specialist · Lagos, Nigeria

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