ragflow/rag
Dominik Novotný 1c84d1b562
Fix: azure OpenAI retry (#10213)
### What problem does this PR solve?

Currently, Azure OpenAI returns one minute Quota limit responses when
chat API is utilized. This change is needed in order to be able to
process almost any documents using models deployed in Azure Foundry.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-23 12:19:28 +08:00
..
app Add tree_merge for law parsers, significantly outperforming hierarchical_merge (#10202) 2025-09-22 16:33:21 +08:00
flow Fix bug: broken import from rag.prompts.prompts (#10217) 2025-09-23 10:19:25 +08:00
llm Fix: azure OpenAI retry (#10213) 2025-09-23 12:19:28 +08:00
nlp Add tree_merge for law parsers, significantly outperforming hierarchical_merge (#10202) 2025-09-22 16:33:21 +08:00
prompts Fix bug: broken import from rag.prompts.prompts (#10217) 2025-09-23 10:19:25 +08:00
res Refa: add result to callback for agent tool use. (#9137) 2025-08-01 21:49:39 +08:00
svr Fix bug: broken import from rag.prompts.prompts (#10217) 2025-09-23 10:19:25 +08:00
utils Refactor: use the same implement for total token count from res (#10197) 2025-09-22 17:17:06 +08:00
__init__.py Update comments (#4569) 2025-01-21 20:52:28 +08:00
benchmark.py Refactor embedding batch_size (#3825) 2024-12-03 16:22:39 +08:00
raptor.py Refactor: based on async await to handle Redis when raptor (#9576) 2025-08-22 10:58:02 +08:00
settings.py Feat: make document parsing and embedding batch sizes configurable via environment variables (#8266) 2025-06-16 13:40:47 +08:00