RAG Knowledge Assistant

Retrieval-augmented assistant for course material with transparent citations. Ask questions and get accurate answers backed by your documents.

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Document SearchFind relevant information instantly
Cited AnswersTransparent source references
Context AwareUnderstands your knowledge base

Knowledge Base Assistant

Available Documents

📄 AI Fundamentals Guide Loaded

📄 Prompt Engineering Best Practices Loaded

📄 Large Language Models Overview Loaded

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Hello! I'm your RAG Knowledge Assistant. I can answer questions about AI fundamentals, prompt engineering, and large language models based on the loaded documents.

Try asking me something like:

"What is prompt engineering?"
"How do large language models work?"
"What are the best practices for AI development?"

How RAG Works

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Retrieval

Searches through your knowledge base to find the most relevant documents and passages for your question.

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Augmentation

Combines retrieved information with AI reasoning to provide comprehensive, contextual answers.

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Generation

Generates accurate responses with clear citations showing exactly where the information came from.

Key Benefits

Accurate Information

Answers are grounded in your actual documents, reducing hallucinations and ensuring reliability.

Source Transparency

Every answer includes citations so you can verify information and explore further.

Scalable Knowledge

Works with large document collections, making vast knowledge bases instantly searchable.

Context Preservation

Maintains conversation context while staying grounded in your specific knowledge base.

Ready to Build Your Knowledge Assistant?

This demonstration shows the power of RAG systems. I can help you build custom knowledge assistants for your organization's documents and data.

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