Software Development

Cognee Custom Pipelines

Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines import run_pipeline), storing custom DataPoints with add_data_points, running custom enrichment over the existing graph, checking pipeline run status, or debugging how data flows between tasks (batch_size, data_per_batch, ctx, Drop, enriches).

Publisher / source
topoteretes/cognee (found on the CSV list)
Upstream record
topoteretes/cognee
Version
Version 1
Published
Publication review
Approved for publication
Content fingerprint
be29f6a160f690af9d163ae574c21d699adf27061282b5aab81f598399c9e550