Create query_crops.py

crop_db/query_crops.py

@@ -0,0 +1,17 @@
+import chromadb
+from chromadb.utils.embedding_functions import SentenceTransformerEmbeddingFunction
+
+client = chromadb.PersistentClient(path="crop_db")
+embedder = SentenceTransformerEmbeddingFunction(model_name="all-MiniLM-L6-v2")
+collection = client.get_collection(name="crop_data", embedding_function=embedder)
+
+results = collection.query(
+    query_texts=["crops suitable for clay soil"],
+    n_results=3,
+    include=["documents", "metadatas"]
+)
+
+print("Top crop recommendations:")
+for doc, meta in zip(results['documents'][0], results['metadatas'][0]):
+    print(f"- {doc}")
+    print(f"  Region: {meta['region']} | Season: {meta['season']}\n")