LightRAG/requirements.txt

aiohttp
configparser
future

# Basic modules
gensim

# Additional Packages for export Functionality
pandas>=2.0.0

# Extra libraries are installed when needed using pipmaster

pipmaster
pydantic
python-dotenv

setuptools
tenacity

# LLM packages
tiktoken
xlsxwriter>=3.1.0
fix requirements.txt 2025-01-07 16:04:46 +08:00			`aiohttp`
feat: 新增ini文件读取数据库配置方式，方便生产环境，修改Lightrag ainsert方法_add_doc_keys获取方式，原来只过滤存在的，但这会让失败的文档无法再次存储，新增--chunk_size和--chunk_overlap_size方便生产环境，新增llm_binding：openai-ollama 方便用openai的同时使用ollama embedding 2025-01-23 22:58:57 +08:00			`configparser`
Fit linting 2025-02-20 04:12:21 +08:00			`future`
fixed linting as well as file path 2025-02-01 01:15:06 +01:00
Update requirements.txt 2025-01-27 09:33:04 +01:00			`# Basic modules`
Fix gensim not compatible wtih numpy and scipy problem - Replace numpy with gensim in requirements.txt - Let gensim choose a correct version of numpy and scipy 2025-03-04 02:28:09 +08:00			`gensim`
Fixed lint and Added new imports at the top of the file 2025-03-12 00:04:23 +05:30
			`# Additional Packages for export Functionality`
			`pandas>=2.0.0`

			`# Extra libraries are installed when needed using pipmaster`

feat: 新增ini文件读取数据库配置方式，方便生产环境，修改Lightrag ainsert方法_add_doc_keys获取方式，原来只过滤存在的，但这会让失败的文档无法再次存储，新增--chunk_size和--chunk_overlap_size方便生产环境，新增llm_binding：openai-ollama 方便用openai的同时使用ollama embedding 2025-01-23 22:58:57 +08:00			`pipmaster`
fix requirements.txt 2025-01-07 16:04:46 +08:00			`pydantic`
			`python-dotenv`
Update requirements.txt 2025-01-27 09:33:04 +01:00
fix requirements.txt 2025-01-07 16:04:46 +08:00			`setuptools`
			`tenacity`
support TiDB: add TiDBKVStorage, TiDBVectorDBStorage 2024-12-11 15:53:32 +08:00
support Oralce DB 2024-11-08 16:27:15 +08:00			`# LLM packages`
fix requirements.txt 2025-01-07 16:04:46 +08:00			`tiktoken`
Fixed lint and Added new imports at the top of the file 2025-03-12 00:04:23 +05:30			`xlsxwriter>=3.1.0`