fil/docs/snippets/r/utils/vector_database_integration.md

library(kreuzberg)

document_id <- "doc-001"

config <- list(
  chunking = list(
    max_characters = 512L,
    overlap = 50L,
    embedding = list(
      model = list(type = "preset", name = "balanced"),
      normalize = TRUE,
      batch_size = 32L
    )
  )
)

json <- extract_file_sync("document.pdf", "application/pdf", config)
result <- jsonlite::fromJSON(json, simplifyVector = FALSE)

# Each chunk has $content, $embedding, and $metadata. Pass these directly
# to a vector database client (pgvector, Qdrant, Pinecone, etc.) along with
# the document_id stored as a metadata field.
cat(sprintf("document_id: %s\n", document_id))
cat(sprintf("chunks ready for upsert: %d\n", length(result$chunks)))