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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Kacper Łukawski
2025-08-07 18:20:18 +02:00
committed by GitHub
co-authored by Copilot
parent d5e84efa4a
commit f84ac3ef54
1 changed files with 2 additions and 2 deletions
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qdrant-landing/content/documentation/database-tutorials/embedding-model-migration.md
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@@ -100,7 +100,7 @@ client.upsert(
points=[ points=[
{ {
"id": 1, "id": 1,
"vector": [0.9, 0.8, 0.7, 0.6, ...] # New embedding vector "vector": [0.9, 0.8, 0.7, 0.6, ...], # New embedding vector
"payload": {"text": "Example document"} "payload": {"text": "Example document"}
} }
] ]
@@ -220,7 +220,7 @@ If your old code looked like this:
```python ```python
results = client.query_points( results = client.query_points(
collection_name="old_collection", collection_name="old_collection",
query=encode_with_old_model("my query"), # Qld query vector query=encode_with_old_model("my query"), # Old query vector
using="my-old-vector", # Old vector name using="my-old-vector", # Old vector name
limit=10, limit=10,
) )