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🧬 NHS UK Medical Knowledge Base (Full RAG Dataset)
This repository contains a vectorized version of the complete NHS medical library, designed for Retrieval-Augmented Generation (RAG) chatbots.
📊 Dataset Statistics
- Total Articles Scraped: 4077
- Total Vectorized Chunks: 16604
- Source: NHS.uk
- Database Format: ChromaDB (
chroma.sqlite3) - Chunking Strategy: 1000 characters with 150-character overlap.
🛠 How to Use for RAG Training
Every chunk includes a source URL in its metadata. To comply with medical guidelines, your LLM should always cite this link when answering.
import chromadb
client = chromadb.PersistentClient(path="./nhs_full_vector_db")
collection = client.get_collection(name="nhs_complete_data")
results = collection.query(query_texts=["What are the symptoms of flu?"], n_results=3)
source_url = results['metadatas'][0][0]['source']
print(f"Source: {source_url}")
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