Update README.md

README.md

@@ -28,7 +28,9 @@ pretty_name: STXBP1 RAG Database v10 - NVIDIA Nemotron Embeddings (Premium)
 
 **The most advanced RAG database for STXBP1 therapeutic research.**
 
-A pre-built ChromaDB vector database containing **571,465 indexed text chunks** from **~17,000 curated PubMed Central (PMC) biomedical papers**, embedded with NVIDIA's state-of-the-art **Llama-Nemotron-Embed-1B-v2** model featuring **2048-dimensional embeddings**.
+A pre-built ChromaDB vector database containing:
+**571,465 indexed text chunks** from **~17,000 curated PubMed Central (PMC) biomedical papers**, 
+Embedded with NVIDIA's state-of-the-art **Llama-Nemotron-Embed-1B-v2** model featuring **2048-dimensional embeddings**.
 
 > ⚡ **This is the premium GPU-accelerated version** — Nemotron embeddings deliver maximum semantic precision for therapeutic queries, but require a GPU with 2-4GB VRAM. For a lightweight CPU-friendly alternative, see: **[STXBP1-RAG-Database (BGE)](https://huggingface.co/datasets/SkyWhal3/STXBP1-RAG-Database)**
 
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   Good separation           Rich semantic space!
                             Fine-grained distinctions