Delete retrieval.py

retrieval.py

@@ -1,35 +0,0 @@
-from sentence_transformers import SentenceTransformer, util
-import chromadb
-from chromadb.utils import embedding_functions
-import numpy as np
-
-class SimpleRetriever:
-    def __init__(self):
-        self.encoder = SentenceTransformer('all-MiniLM-L6-v2')
-        self.client = chromadb.Client()
-        self.collection = self.client.create_collection(
-            name="incidents",
-            embedding_function=embedding_functions.SentenceTransformerEmbeddingFunction()
-        )
-        self._seed_incidents()
-
-    def _seed_incidents(self):
-        incidents = [
-            ("High latency in payment service, caused by database connection pool exhaustion.", "database_pool"),
-            ("Memory leak in API gateway after 24 hours of uptime.", "memory_leak"),
-            ("Authentication service returning 500 errors due to misconfigured OAuth.", "oauth_config"),
-            ("Disk full on logging node, causing log loss.", "disk_full"),
-        ]
-        for text, cause in incidents:
-            self.collection.add(
-                documents=[text],
-                metadatas=[{"cause": cause}],
-                ids=[cause]
-            )
-
-    def get_similarity(self, query: str) -> float:
-        results = self.collection.query(query_texts=[query], n_results=1)
-        if results['distances'] and len(results['distances'][0]) > 0:
-            # Convert L2 distance to similarity (inverse, scaled)
-            return 1.0 / (1.0 + results['distances'][0][0])
-        return 0.0