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Docs: rm max token (#6202)

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### What problem does this PR solve?

#6178

### Type of change

- [x] Documentation Update
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Kevin Hu
2025-03-18 11:13:24 +08:00
committed by GitHub
parent 5841aa8189
commit 222a2c8fa5
3 changed files with 2 additions and 9 deletions
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docs/references/http_api_reference.md
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@ -1539,8 +1539,6 @@ curl --request POST \
This discourages the model from repeating the same information by penalizing words that have already appeared in the conversation. Defaults to `0.2`.
- `"frequency penalty"`: `float`
Similar to the presence penalty, this reduces the model’s tendency to repeat the same words frequently. Defaults to `0.7`.
- `"max_token"`: `integer`
The maximum length of the model's output, measured in the number of tokens (words or pieces of words). Defaults to `512`. If disabled, you lift the maximum token limit, allowing the model to determine the number of tokens in its responses.
- `"prompt"`: (*Body parameter*), `object`
Instructions for the LLM to follow. If it is not explicitly set, a JSON object with the following values will be generated as the default. A `prompt` JSON object contains the following attributes:
- `"similarity_threshold"`: `float` RAGFlow employs either a combination of weighted keyword similarity and weighted vector cosine similarity, or a combination of weighted keyword similarity and weighted reranking score during retrieval. This argument sets the threshold for similarities between the user query and chunks. If a similarity score falls below this threshold, the corresponding chunk will be excluded from the results. The default value is `0.2`.
@ -1674,8 +1672,6 @@ curl --request PUT \
This discourages the model from repeating the same information by penalizing words that have already appeared in the conversation. Defaults to `0.2`.
- `"frequency penalty"`: `float`
Similar to the presence penalty, this reduces the model’s tendency to repeat the same words frequently. Defaults to `0.7`.
- `"max_token"`: `integer`
The maximum length of the model's output, measured in the number of tokens (words or pieces of words). Defaults to `512`. If disabled, you lift the maximum token limit, allowing the model to determine the number of tokens in its responses.
- `"prompt"`: (*Body parameter*), `object`
Instructions for the LLM to follow. A `prompt` object contains the following attributes:
- `"similarity_threshold"`: `float` RAGFlow employs either a combination of weighted keyword similarity and weighted vector cosine similarity, or a combination of weighted keyword similarity and weighted rerank score during retrieval. This argument sets the threshold for similarities between the user query and chunks. If a similarity score falls below this threshold, the corresponding chunk will be excluded from the results. The default value is `0.2`.