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Project Title: AD 331 Implementing a Simple Retrieval-Augmented Generation (RAG) System

By: Amde Wubshet

LLM Used:

GPT-2

Embedding Model Used

all-MiniLM-L6-v2

Test Cases

Test Case Chunks Recieved Query Analysis
1 Chunk 2 "What is the primary function of the Baku?" The knowledge chunk returned is what was expected, although the LLM still ended up hallucinated
2 Chunk 1 "How are you supposed to cook sausages?" What was returned from the LLM and the RAG system was not as ideal since the question isn't in the KB.
3 Chunk 2, Chunk 3 "Which creature has a powerful sense of smell, and which creature is known for consuming dreams?" Top 2 chunks ended up as expected, although the LLM is still hallucinating.

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