[GH-ISSUE #128] Understanding the limitations of this approach #89

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opened 2026-02-22 18:17:51 -05:00 by yindo · 0 comments
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Originally created by @ifuchs on GitHub (Jun 27, 2023).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/128

Say I have stored 1000s of peer reviewed research papers and I would like to be able to ask questions about these articles without specifying which one I am asking about. In other words, I want a search engine which uses natural language to interrogate this corpus. Is anythingLLM appropriate for this application? What are its limitations? If one only has access to the smaller token sizes on GPT 3.5 or GPT4, does that mean that the documents that you can use with anythingLLM is similarly limited? I'm also trying to understand something fairly fundamental, which is how is this really different than including the document as part of a prompt?(sorry if that should be obvious)

Originally created by @ifuchs on GitHub (Jun 27, 2023). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/128 Say I have stored 1000s of peer reviewed research papers and I would like to be able to ask questions about these articles without specifying which one I am asking about. In other words, I want a search engine which uses natural language to interrogate this corpus. Is anythingLLM appropriate for this application? What are its limitations? If one only has access to the smaller token sizes on GPT 3.5 or GPT4, does that mean that the documents that you can use with anythingLLM is similarly limited? I'm also trying to understand something fairly fundamental, which is how is this really different than including the document as part of a prompt?(sorry if that should be obvious)
yindo added the questionwontfix labels 2026-02-22 18:17:51 -05:00
yindo closed this issue 2026-02-22 18:17:51 -05:00
yindo changed title from Understanding the limitations of this approach to [GH-ISSUE #128] Understanding the limitations of this approach 2026-06-05 14:33:25 -04:00
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Reference: Mintplex-Labs/anything-llm#89