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paivalucass commited on 28 days ago

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@@ -9,7 +9,7 @@ license: mit
 short_description: LLM based Restaurant Recommendation chatbot.
 ---
-# AI Restaurant Recommendation Chatbot (Qwen2-1.5B-Instruct) 🍜
 This project implements an intelligent restaurant recommendation system using OpenStreetMap, sentence-transformer embeddings, FAISS vector search, and an LLM assistant (Qwen2-1.5B-Instruct).
 It provides two main features:
@@ -51,7 +51,7 @@ sentence-transformers/all-MiniLM-L6-v2
 5. Embeddings are indexed using FAISS (Inner Product search with L2 normalization).
-6. User query is embedded and compared to all restaurants.
 7. Results are ranked using a blended score:

 short_description: LLM based Restaurant Recommendation chatbot.
 ---
+# AI Restaurant Recommendation Chatbot using RAG (Qwen2-1.5B-Instruct) 🍜
 This project implements an intelligent restaurant recommendation system using OpenStreetMap, sentence-transformer embeddings, FAISS vector search, and an LLM assistant (Qwen2-1.5B-Instruct).
 It provides two main features:
 5. Embeddings are indexed using FAISS (Inner Product search with L2 normalization).
+6. User query is embedded and compared to all restaurants (RAG).
 7. Results are ranked using a blended score: