Add logging in dbs

1 files changed, 0 insertions, 47 deletions

diff --git a/rag/db/embeddings.py b/rag/db/embeddings.py
deleted file mode 100644
index 4f61dcc..0000000
--- a/rag/db/embeddings.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import os
-from dataclasses import dataclass
-from typing import Dict, List
-from uuid import uuid4
-
-from qdrant_client import QdrantClient
-from qdrant_client.http.models import StrictFloat
-from qdrant_client.models import Distance, VectorParams, PointStruct
-
-
-@dataclass
-class Point:
-    id: str
-    vector: List[StrictFloat]
-    payload: Dict[str, str]
-
-
-class Embeddings:
-    def __init__(self):
-        self.dim = int(os.environ["EMBEDDING_DIM"])
-        self.collection_name = os.environ["QDRANT_COLLECTION_NAME"]
-        self.client = QdrantClient(url=os.environ["QDRANT_URL"])
-        self.client.delete_collection(
-            collection_name=self.collection_name,
-        )
-        self.client.create_collection(
-            collection_name=self.collection_name,
-            vectors_config=VectorParams(size=self.dim, distance=Distance.COSINE),
-        )
-
-    def add(self, points: List[Point]):
-        print(len(points))
-        self.client.upload_points(
-            collection_name=self.collection_name,
-            points=[
-                PointStruct(id=point.id, vector=point.vector, payload=point.payload)
-                for point in points
-            ],
-            parallel=4,
-            max_retries=3,
-        )
-
-    def search(self, query: List[float], limit: int = 4):
-        hits = self.client.search(
-            collection_name=self.collection_name, query_vector=query, limit=limit
-        )
-        return hits