_batch() — langchain Function Reference

Architecture documentation for the _batch() function in api.py from the langchain codebase.

Function python DataProcessing VectorStores called by 1

Entity Profile

DataProcessing→ VectorStores→ _batch() — langchain Function Reference

Dependency Diagram

graph TD
  2b143fb5_ebe5_0eb6_a013_3f30f8b41a45["_batch()"]
  0a83ef61_4c07_e8b4_648c_4199ec598979["api.py"]
  2b143fb5_ebe5_0eb6_a013_3f30f8b41a45 -->|defined in| 0a83ef61_4c07_e8b4_648c_4199ec598979
  38094325_d9b6_a147_c56c_209933148cce["index()"]
  38094325_d9b6_a147_c56c_209933148cce -->|calls| 2b143fb5_ebe5_0eb6_a013_3f30f8b41a45
  style 2b143fb5_ebe5_0eb6_a013_3f30f8b41a45 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/indexing/api.py lines 91–98

def _batch(size: int, iterable: Iterable[T]) -> Iterator[list[T]]:
    """Utility batching function."""
    it = iter(iterable)
    while True:
        chunk = list(islice(it, size))
        if not chunk:
            return
        yield chunk