错误一：

LightRAG无法回答错误：

INFO:lightrag:kw_prompt result:{{"high_level_keywords": ["xxx", "xxx"],"low_level_keywords": ["xxx", "xxx", "xxx"]
}}
JSON parsing error: Expecting property name enclosed in double quotes: line 1 column 2 (char 1) {{"high_level_keywords": ["xxx", "xxx"],"low_level_keywords": ["xxx", "xxx", "xxx"]
}}
Sorry, I'm not able to provide an answer to that question.

是因为LLM响应的格式错误：

{{"high_level_keywords": ["xxx", "xxx"],"low_level_keywords": ["xxx", "xxx", ]
}}

正确格式：

{"high_level_keywords": ["xxx", "xxx"],"low_level_keywords": ["xxx", "xxx"]
}

解决方法：修改\lightrag\operate.py 477行代码。

python">result = await use_model_func(kw_prompt, keyword_extraction=True)
logger.info("kw_prompt result:")
print("original result:", result)
result = result.replace('{{', '{').replace('}}', '}')
print("rewrite result", result)

错误二：

新环境测试LightRAG时突然出现错误：KeyError: 'Could not automatically map gpt-4o-mini to a tokeniser. Please use `tiktok.get_encoding` to explicitly get the tokeniser you expect.'

解决方法：搜索发现可能跟tiktoken版本问题有关，发现新环境中的tiktoken库版本是0.3.0，而旧环境是0.7.0，重新安装后即可正常运行。
pip install tiktoken==0.7.0

生成的知识图谱中带有很多英文节点：
将\lightrag\prompt.py中PROMPTS[“DEFAULT_LANGUAGE”] 的值修改成 “Chinese”。

错误三：

使用API插入文本出错
官方测试curl命令（错误）：curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: application/json" -d '{"file_path": "path/to/your/file.txt"}'

返回错误：{"detail":[{"type":"missing","loc":["body","file"],"msg":"Field required","input":null}]}

正确curl命令：curl -X POST "http://127.0.0.1:8020/insert_file" -H "Content-Type: multipart/form-data" -F "file=@path/to/your/file.txt"

返回成功：{"status":"success","data":null,"message":"File content from test.txt inserted successfully"}