Stephen Hu fb77f9917b Refactor: Use Input Length In DefaultRerank (#9516) ...

### What problem does this PR solve?

1. Use input length to prepare res
2. Adjust torch_empty_cache code location

### Type of change

- [x] Refactoring
- [x] Performance Improvement

2025-08-18 10:00:27 +08:00

..

app

Fix: unexpected truncated Excel files (#9500)

2025-08-15 17:00:34 +08:00

llm

Refactor: Use Input Length In DefaultRerank (#9516)

2025-08-18 10:00:27 +08:00

nlp

Feat: add meta data filter. (#9405)

2025-08-12 14:12:56 +08:00

prompts

Refa: split services about llm. (#9450)

2025-08-13 16:41:01 +08:00

res

Refa: add result to callback for agent tool use. (#9137)

2025-08-01 21:49:39 +08:00

svr

Feat: add citation option to agent and enlarge the timeouts. (#9484)

2025-08-15 10:05:01 +08:00

utils

Fix: no doc hits after meta data filter. (#9435)

2025-08-13 12:43:31 +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

Refa: remove temperature since some LLMs fail to support. (#8981)

2025-07-23 10:17:04 +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