RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Go: implement dataset ingestion log APIs (#15421)
### What problem does this PR solve? Part of the Python → Go API server rewrite tracked in #15240 (Dataset ingestion section). This PR implements the three dataset ingestion endpoints in the Go API server, mirroring the existing Python `dataset_api_service` behaviour: - `GET /api/v1/datasets/<dataset_id>/ingestions/summary` - `GET /api/v1/datasets/<dataset_id>/ingestions` - `GET /api/v1/datasets/<dataset_id>/ingestions/<log_id>` ### Type of change - [x] Refactoring - [x] New Feature (non-breaking change which adds functionality) Co-authored-by: sxxtony <sxxtony@users.noreply.github.com>
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sxxtony committed
12579dbc3d65014c3a6b480f77754488d8550e22
Parent: 3774916
Committed by GitHub <noreply@github.com>
on 6/1/2026, 3:23:44 AM