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Documentation: add wiki links for AI stuff and parser plugins (#13626)

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shamoon
2026-08-09 19:05:32 -07:00
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commit e2c284f64e
2 changed files with 10 additions and 1 deletions
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docs/advanced_usage.md
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@@ -129,6 +129,10 @@ At a minimum you need to enable AI and choose an LLM backend:
and/or [`PAPERLESS_AI_LLM_ENDPOINT`](configuration.md#PAPERLESS_AI_LLM_ENDPOINT). Ollama
requires `PAPERLESS_AI_LLM_ENDPOINT` pointing at your Ollama server.
See the community-maintained wiki page on
[choosing AI models](https://github.com/paperless-ngx/paperless-ngx/wiki/AI-Model-Recommendations)
for suggested generation and embedding models.
### AI-assisted suggestions
With AI enabled, Paperless-ngx can suggest a title, tags, correspondent, document type,
@@ -808,7 +812,8 @@ Third-party parser plugins extend Paperless-ngx to support additional file
formats. A plugin is a Python package that advertises itself under the
`paperless_ngx.parsers` entry point group. Refer to the
[developer documentation](development.md#making-custom-parsers) for how to
create one.
create one, or see the wiki for a community-maintained list of
[parser plugins](https://github.com/paperless-ngx/paperless-ngx/wiki/Related-Projects#parser-plugins).
!!! warning "Third-party plugins are not officially supported"
docs/configuration.md
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@@ -2069,6 +2069,8 @@ suggestions. This setting is required to be set to true in order to use the AI f
models supported by the current embedding backend. If not supplied, defaults to
"text-embedding-3-small" for the OpenAI-compatible backend,
"sentence-transformers/all-MiniLM-L6-v2" for Huggingface, and "embeddinggemma" for Ollama.
See [choosing AI models](https://github.com/paperless-ngx/paperless-ngx/wiki/AI-Model-Recommendations)
for language and resource considerations.
Defaults to None.
@@ -2125,6 +2127,8 @@ setting is required to be set to use the AI features.
: The model to use for the AI backend, i.e. "gpt-3.5-turbo", "gpt-4" or any of the models supported
by the current backend. If not supplied, defaults to "gpt-3.5-turbo" for the OpenAI-compatible
backend and "llama3.1" for Ollama.
See [choosing AI models](https://github.com/paperless-ngx/paperless-ngx/wiki/AI-Model-Recommendations)
for local versus remote and model-size considerations.
Defaults to None.