ragflow/rag/llm
Billy Bao 1a47e136e3
Feat: Adds a new feature that enables the LLM to extract a structured table of contents (TOC) directly from plain text. (#10428)
### What problem does this PR solve?

**Adds a new feature that enables the LLM to extract a structured table
of contents (TOC) directly from plain text.**
_This implementation prioritizes efficiency over reasoning — the model
runs in a strictly deterministic mode (thinking disabled) to minimize
latency.
As a result, overall performance may be less optimal, but the extraction
speed and consistency are guaranteed._

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 13:47:31 +08:00
..
__init__.py Feat: add support for Anthropic third-party API (#10173) 2025-09-19 19:06:14 +08:00
chat_model.py Feat: Adds a new feature that enables the LLM to extract a structured table of contents (TOC) directly from plain text. (#10428) 2025-10-09 13:47:31 +08:00
cv_model.py Refactor: improve cv model logics (#10414) 2025-10-09 09:47:36 +08:00
embedding_model.py Feat: Use data pipeline to visualize the parsing configuration of the knowledge base (#10423) 2025-10-09 12:36:19 +08:00
rerank_model.py Refactor: use the same implement for total token count from res (#10197) 2025-09-22 17:17:06 +08:00
sequence2txt_model.py Feat: add DeerAPI support (#10303) 2025-10-09 11:14:49 +08:00
tts_model.py Feat: add DeerAPI support (#10303) 2025-10-09 11:14:49 +08:00