This page shows you how to update documents in a collection.
from lambdadb import LambdaDB
lambda_db = LambdaDB(
server_url="PROJECT_URL",
project_api_key="YOUR_API_KEY"
)
# Prepare update documents
docs = [
{
"id": "33201222",
"title": "LambdaDB",
"text": "LambdaDB is an AI-native database ... "
},
{
"id": "33201223",
"url": "https://en.wikipedia.org/wiki/Winamp",
"title": "Winamp v2",
"text": "Winamp v2 is a media player for Windows, macOS and Android, originally developed by Justin Frankel and Dmitry Boldyrev by their company Nullsoft, which they later sold to AOL, who sold to Radionomy in January 2014."
}
]
# Execute update
update_docs_test = lambda_db.collections.docs.update(
collection_name=collection_name,
docs=docs,
)
Each document in a payload must contain an id field to uniquely identify a document to update.
For a partitioned collection, a document in __default__ partition with matching id value is updated if partition field is not provided.
Update limits
| Metric | Limit |
|---|
| Max payload size | 6MB |
| Max length for a document ID | 512 characters |
| Max vector dimensions | 4,096 |
| Max document size | 50KB |
