Comments (1)
Acctually, ragflow-base image was not built from Dockerfile.
We just run ubuntu 22.04 docker image, then install all the necessary thing, and commit this container to an image.
The Python version is 3.11, and you can find other thing in reqirements.txt
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Related Issues (20)
- [Feature Request]: Supports moving files to a specific folder in file manager.
- [Feature Request]: Embedding chat page doesn't show the cited documents. HOT 1
- [Bug]: Can't set assistant avatar
- [Bug]: can't capitalize file or folder name
- [Bug]: Knowledge base search is case sensitive
- [Feature Request]: Supports simple document layout to speed up file parsing
- [Feature Request]: Let file in knowledgebases visible in file manager
- [Feature Request]: Default language will be given according to the browse setting and also can be configured
- [Bug]: ocr.py “if False and ort.get_device() == "GPU":“ should be or HOT 1
- [Question]: which base model on ocr, tsr and layout?
- [Bug]: Can't see what's inside a local folder during bulk upload.
- [Question]: Chunk method can be integrated by self-defined methods HOT 1
- [Feature Request]: Supporting linking multiple files to knowledge bases
- [Feature Request]: Specify documents for LLM chat with API
- [Feature Request]: Introduce OpenAI's 'text-embedding-3-small' and 'text-embedding-3-large' as OpenAI embedding models HOT 1
- [Question]: How to improve parsing and chating speed? HOT 2
- [Bug]: thumbnails are too large in the chat box
- Cross-Origin Resource Sharing And unauthorized access issues with Elasticsearch
- [Bug]: Failed to build docker image HOT 2
- [Question]: my only concern
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