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opened 2026-02-22 18:26:09 -05:00 by yindo
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Reference: Mintplex-Labs/anything-llm#1705
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Originally created by @TeaAlc on GitHub (Nov 14, 2024).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/2633
Originally assigned to: @timothycarambat on GitHub.
What would you like to see?
Feature: To not only support one model that was somehow selected at development time and not have to maintain lists for every embedding model it would be great to have a option to overrule the hardcoded embeddingMaxChunkLength.
Explaination:
In Text splitting & Chunking Preferences the max chunk size seems to be embedding provider dependend rather than embedding model dependent, this leads through a max length of characters that does not fit to every model.
e.G.

is set for the Azure OpenAI Embedding Provider.
The chunk size seems to be from
https://github.com/Mintplex-Labs/anything-llm/blob/da3d0283ffee9c592e5b81d2be6a848722df298f/server/utils/EmbeddingEngines/azureOpenAi/index.js#L22C10-L22C34
The model that was used as base seems to be text-embedding-ada-002, but there are already newer models like text-embedding-3-large.
Also it seems that the AnythingLLM embedder counts characters rather than tokens, reducing the amount of data in a vector even further.
@kalle07 commented on GitHub (Jan 21, 2025):
can i change also the number of chunks
lets say
8 numbers
1024 size
32 overlap
or is always used the larges that the model can handle?
@timothycarambat commented on GitHub (Jan 21, 2025):
If you dont set it or swap the embedder model, we use the max by default. If you set it - we will not change it.
@kalle07 commented on GitHub (Jan 21, 2025):
lets say the model can 16000
i set
1024 chunk size
and
overlap 32
so and now?
you multiply the number of chunks to get 16000 ?
[FEAT]: Max. chunk size should be overridableto [GH-ISSUE #2633] [FEAT]: Max. chunk size should be overridable