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RAG Knowledge Assistant Demo
A basic RAG-style assistant prototype that makes retrieval, source snippets, and grounded answer flow easy to understand.
RAG demo
Year
2026
Role
Learning prototype, interface design, retrieval flow, beginner AI/RAG practice
Problem
RAG can feel abstract when the retrieval step and source grounding are hidden behind production tooling, especially for someone learning the concept for the first time.
Solution
The demo keeps the workflow visible by searching a tiny local knowledge base, ranking matching snippets, and building a simple answer from those sources without claiming production AI capability.
Outcome
Visitors can interact with a small knowledge assistant and understand the basic shape of retrieval-augmented answering before the project grows into a real LLM, embeddings, and vector-search implementation.
Build notes
What this project demonstrates.
Local keyword-based retrieval over a small knowledge base
Visible source snippets so the answer is easy to inspect
Beginner-friendly RAG flow without external AI services
Honest portfolio framing around AI/RAG basics and learning progress
Technologies
Next.jsReactTypeScriptTailwind CSSAI/RAG basicsPrompt design basics