UniqAI/open-webui
1
0
Fork 0
mirror of https://github.com/open-webui/open-webui synced 2024-11-22 08:07:55 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

improvements

Browse Source
This commit is contained in:
Robin Bially 2024-10-09 18:29:14 +02:00
parent 2c59f2dcaf
commit 54dc94317c
1 changed files with 15 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
backend/open_webui/apps/retrieval/vector/dbs/qdrant.py
View File

@ -49,6 +49,19 @@ class QdrantClient:
collection_name=collection_name, dimension=dimension
)
def _create_points(self, items: list[VectorItem]):
return [
PointStruct(
id=item["id"],
vector=item["vector"],
payload={
"text": item["text"],
"metadata": item["metadata"]
},
)
for item in items
]
def has_collection(self, collection_name: str) -> bool:
return self.client.collection_exists(f"{self.collection_prefix}_{collection_name}")
@ -109,13 +122,13 @@ class QdrantClient:
def insert(self, collection_name: str, items: list[VectorItem]):
# Insert the items into the collection, if the collection does not exist, it will be created.
self._create_collection_if_not_exists(collection_name, len(items[0]["vector"]))
points = self.create_points(items)
points = self._create_points(items)
self.client.upload_points(f"{self.collection_prefix}_{collection_name}", points)
def upsert(self, collection_name: str, items: list[VectorItem]):
# Update the items in the collection, if the items are not present, insert them. If the collection does not exist, it will be created.
self._create_collection_if_not_exists(collection_name, len(items[0]["vector"]))
points = self.create_points(items)
points = self._create_points(items)
return self.client.upsert(f"{self.collection_prefix}_{collection_name}", points)
def delete(
@ -159,18 +172,3 @@ class QdrantClient:
for collection_name in collection_names:
if collection_name.name.startswith(self.collection_prefix):
self.client.delete_collection(collection_name=collection_name.name)
def create_points(self, items: list[VectorItem]):
points = []
for idx, item in enumerate(items):
points.append(
PointStruct(
id=item["id"],
vector=item["vector"],
payload={
"text": item["text"],
"metadata": item["metadata"]
},
)
)
return points