From 524f670925f1f7bb10928700d153084b8bb3f05f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=94=D0=B0=D0=BD=D0=B8=D0=B8=D0=BB=20=D0=92=D0=B8=D0=BA?=
 =?UTF-8?q?=D1=82=D0=BE=D1=80=D0=BE=D0=B2?= <mr.face2002@gmail.com>
Date: Thu, 2 Jul 2026 08:35:09 +0000
Subject: [PATCH] =?UTF-8?q?fix:=20rag=5Fstore.py=20=E2=80=94=20=D0=90?=
 =?UTF-8?q?=D0=B3=D0=B5=D0=BD=D1=82=20=D1=81=20RAG-=D0=BF=D0=B0=D0=BC?=
 =?UTF-8?q?=D1=8F=D1=82=D1=8C=D1=8E?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 rag_store.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 rag_store.py

diff --git a/rag_store.py b/rag_store.py
new file mode 100644
index 0000000..36b31f5
--- /dev/null
+++ b/rag_store.py
@@ -0,0 +1,23 @@
+import os
+from langchain_openai import OpenAIEmbeddings
+from langchain_qdrant import Qdrant
+from langchain_core.documents import Document
+
+class KnowledgeBase:
+    def __init__(self, collection_name: str = "knowledge", host: str = "localhost", port: int = 6333):
+        self.embeddings = OpenAIEmbeddings(
+            model="text-embedding-3-small",
+            base_url="https://openrouter.ai/api/v1",
+            api_key=os.getenv("OPENAI_API_KEY"),
+        )
+        self.vector_store = Qdrant(
+            collection_name=collection_name,
+            url=f"http://{host}:{port}",
+            embedding_function=self.embeddings,
+        )
+
+    def add_documents(self, documents):
+        self.vector_store.add_documents(documents)
+
+    def similarity_search(self, query: str, k: int = 3):
+        return self.vector_store.similarity_search(query, k=k)
\ No newline at end of file