From d0b18dc23640015507f6ae222f24a1ce852e650d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=9C=D0=B0=D1=80=D0=B0=D1=82=20=D0=A4=D0=B0=D0=B7=D1=8B?=
 =?UTF-8?q?=D0=BB=D0=BE=D0=B2?= <maratfazylov19@gmail.com>
Date: Thu, 14 May 2026 16:53:45 +0000
Subject: [PATCH] add vector_store

---
 vector_store.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)
 create mode 100644 vector_store.py

diff --git a/vector_store.py b/vector_store.py
new file mode 100644
index 0000000..65a2652
--- /dev/null
+++ b/vector_store.py
@@ -0,0 +1,21 @@
+from langchain_qdrant import QdrantVectorStore
+from langchain_ollama import OllamaEmbeddings
+from langchain.schema import Document
+
+class QdrantStore:
+    def __init__(self, host="localhost", port=6333, collection_name="rag_collection"):
+        self.client = QdrantVectorStore(
+            url=f"http://{host}:{port}",
+            collection_name=collection_name,
+            embeddings=OllamaEmbeddings(model="nomic-embed-text")
+        )
+        # ensure collection exists
+        if not self.client.collection_exists:
+            self.client.create_collection()
+
+    def add_documents(self, docs):
+        # docs: list of Document
+        self.client.add_documents(docs)
+
+    def search(self, query, limit=5):
+        return self.client.similarity_search(query, k=limit)