private-gpt/fern/docs/pages/manual/ingestion.mdx

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# Ingesting & Managing Documents
The ingestion of documents can be done in different ways:
* Using the `/ingest` API
* Using the Gradio UI
* Using the Bulk Local Ingestion functionality (check next section)
## Bulk Local Ingestion
When you are running PrivateGPT in a fully local setup, you can ingest a complete folder for convenience (containing
pdf, text files, etc.)
and optionally watch changes on it with the command:
```bash
make ingest /path/to/folder -- --watch
```
To log the processed and failed files to an additional file, use:
```bash
make ingest /path/to/folder -- --watch --log-file /path/to/log/file.log
```
After ingestion is complete, you should be able to chat with your documents
by navigating to http://localhost:8001 and using the option `Query documents`,
or using the completions / chat API.
## Ingestion troubleshooting
Are you running out of memory when ingesting files?
To do not run out of memory, you should ingest your documents without the LLM loaded in your (video) memory.
To do so, you should change your configuration to set `llm.mode: mock`.
You can also use the existing `PGPT_PROFILES=mock` that will set the following configuration for you:
```yaml
llm:
mode: mock
embedding:
mode: local
```
This configuration allows you to use hardware acceleration for creating embeddings while avoiding loading the full LLM into (video) memory.
Once your documents are ingested, you can set the `llm.mode` value back to `local` (or your previous custom value).
## Supported file formats
privateGPT by default supports all the file formats that contains clear text (for example, `.txt` files, `.html`, etc.).
However, these text based file formats as only considered as text files, and are not pre-processed in any other way.
It also supports the following file formats:
* `.hwp`
* `.pdf`
* `.docx`
* `.pptx`
* `.ppt`
* `.pptm`
* `.jpg`
* `.png`
* `.jpeg`
* `.mp3`
* `.mp4`
* `.csv`
* `.epub`
* `.md`
* `.mbox`
* `.ipynb`
* `.json`
**Please note the following nuance**: while `privateGPT` supports these file formats, it **might** require additional
dependencies to be installed in your python's virtual environment.
For example, if you try to ingest `.epub` files, `privateGPT` might fail to do it, and will instead display an
explanatory error asking you to download the necessary dependencies to install this file format.
**Other file formats might work**, but they will be considered as plain text
files (in other words, they will be ingested as `.txt` files).