Delete neural_searcher.py

neural_searcher.py

@@ -1,38 +0,0 @@
-from qdrant_client import QdrantClient
-from sentence_transformers import SentenceTransformer
-from qdrant_client.models import Filter
-
-class NeuralSearcher:
-    def __init__(self, collection_name):
-        self.collection_name = collection_name
-        # Initialize encoder model
-        self.model = SentenceTransformer("all-MiniLM-L6-v2", device="cpu")
-        # initialize Qdrant client
-        self.qdrant_client = QdrantClient("http://localhost:6333")
-        
-    def search(self, text: str, city: str):
-        # Convert text query into vector
-        vector = self.model.encode(text).tolist()
-    
-        city_of_interest = city
-    
-        # Define a filter for cities
-        city_filter = Filter(**{
-            "must": [{
-                "key": "city", # Store city information in a field of the same name 
-                "match": { # This condition checks if payload field has the requested value
-                    "value": city_of_interest
-                }
-            }]
-        })
-    
-        search_result = self.qdrant_client.search(
-            collection_name=self.collection_name,
-            query_vector=vector,
-            query_filter=city_filter,
-            limit=5
-        )
-        # `search_result` contains found vector ids with similarity scores along with the stored payload
-        # In this function you are interested in payload only
-        payloads = [hit.payload for hit in search_result]
-        return payloads