Upserts records with text that gets automatically embedded using the index's integrated embedding model. This is only available for indexes created with `create_index_for_model()`.
Arguments
- index
Name of the index (must have integrated embedding model)
- records
A list of records to upsert. Each record should be a named list with: - `_id`: Unique identifier for the record - Additional fields including the text field specified in the index's field_map
- namespace
Namespace to upsert into (default: "")
Details
The index must be created with `create_index_for_model()` which configures an integrated embedding model. The text field specified in the index's `field_map` will be automatically embedded.
Examples
if (FALSE) { # \dontrun{
# First create an index with integrated embedding
create_index_for_model(
name = "my-index",
cloud = "aws",
region = "us-east-1",
embed = list(
model = "multilingual-e5-large",
field_map = list(text = "chunk_text")
)
)
# Then upsert records with text (automatically embedded)
records_upsert(
index = "my-index",
records = list(
list(`_id` = "rec1", chunk_text = "The quick brown fox"),
list(`_id` = "rec2", chunk_text = "jumps over the lazy dog")
)
)
# With additional metadata
records_upsert(
index = "my-index",
records = list(
list(
`_id` = "doc1",
chunk_text = "Machine learning is transforming industries",
category = "tech",
source = "article"
)
)
)
} # }