Update README (1).md

README (1).md

@@ -24,7 +24,7 @@ This tool implements a full 6-step RAG (Retrieval-Augmented Generation) pipeline
 | **3. Embed** | `all-MiniLM-L6-v2` encodes each chunk into a 384-dim vector |
 | **4. Store** | ChromaDB holds all vectors in an in-memory collection |
 | **5. Retrieve** | Semantic search returns the 10 most relevant chunks |
-| **6. Generate** | Claude analyses the retrieved context and returns a structured trend signal |
+| **6. Generate** | Gemini analyses the retrieved context and returns a structured trend signal |
 
 ## Tech Stack
 
@@ -68,4 +68,4 @@ This gives more focused, accurate, and cost-efficient results — and is directl
 
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-Built by [Sammie Wong](https://linkedin.com/in/)
+Built by [Sammie Wong](https://linkedin.com/in/sammie-wong)