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Web browsing using # isn't scraping content #2378
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Originally created by @rfernandez760 on GitHub (Oct 14, 2024).
Bug Report
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Installation Method
OWUI Installed via Docker
Environment
Open WebUI Version: v0.3.32
Ollama (if applicable): 0.3.13
Operating System: Win11, Running WSL2 with Ubuntu
Browser (if applicable): Chrome and Edge
Confirmation:
Expected Behavior:
Scenario 1. When adding in # at the beginning or in the message, OWUI will generate a file for the LLM review much like attaching a file that has been uploaded for RAG.
Scenario 2. When adding # in the message, OWUI will scrape the content of the web page for RAG. Regardless of the type of LLM model selected.
Actual Behavior:
Scenario 1. The model is not able to retrieve any data. The citation just shows the URL link that is provided.
Scenario 2. Closed source models like Claude or GPT4.0 can't read the web page, but open source models can. Please note the open source models tested were llama3.1 that is installed locally as well as open source models connected to Groq via API.
Description
Bug Summary:
Web browsing (ability to read a web page) is unavailable, and inconsistent behavior based on open source vs closed source models. This I don't believe is the expected functionality.
Reproduction Details
Steps to Reproduce:
Scenario 1: Add a # first in the chat so OWUI can generate the document (content) for review. Then ask any questions like summarize. Use any model open source or closed source.
Scenario 2: Type in the message field "Please summarize the following #". Ask using an open source, and then create a new message following the same steps using a closed source model. The open is able to retrieve and read, while the closed source doesn't have any context.
Example URL: #https://www.msn.com/en-us/news/politics/cruz-calls-out-mcconnell-aligned-group-for-not-spending-a-penny-in-texas/ar-AA1sgaor?ocid=msedgntp&pc=U531&cvid=8e102387764f4ce3925621b1d3a529c0&ei=10
Logs and Screenshots
Browser Console Logs:
[Include relevant browser console logs, if applicable]
Docker Container Logs:
[Include relevant Docker container logs, if applicable]
Docker Logs.txt
Screenshots/Screen Recordings (if applicable):

Additional Information
[Include any additional details that may help in understanding and reproducing the issue. This could include specific configurations, error messages, or anything else relevant to the bug.]
Note
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