> For the complete documentation index, see [llms.txt](https://docs.botdistrikt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.botdistrikt.com/features/sources/documents.md).

# Documents

### **Documents**

To view the documents dashboard, click **Sources --> Documents** (tab)

<figure><img src="/files/ADzMd2hZfUGGOBYOtPGi" alt=""><figcaption><p>Documents as Sources</p></figcaption></figure>

Click **New Source Document** to add a training document and title. BotDistrikt parses the document into the following information:

<figure><img src="/files/79auVE2NLDxrg9WzgevN" alt=""><figcaption><p>Uploaded Training Document</p></figcaption></figure>

1. Specifies **Document Type.**
2. Number of characters in the document.
3. Adjusting the **Chunk Size** changes the character count in a chunk. You can toggle chunk size from the slider or the **Use Recommended** button. A large chunk size retains more context while a small chunk size captures more granular semantic data.
4. **Chunk Overlap** from one chunk to another. You get improved context, a better training model for longer documents, and enhanced coherence. You can increase chunk size if the document consists of numerous unrelated topics.&#x20;
5. The Output shows the number of responses that will be generated based on the **Chunk Size** and **Chunk Overlap** settings.
6. Click **Show Example Responses** to view sample extracted responses.
7. Click **Train AI** to train your bot with the document.

The screen redirects to the main **Sources (Documents)** dashboard.&#x20;

<figure><img src="/files/6YM0MIGiPLiPHm5eLtSi" alt=""><figcaption><p>Uploaded Training Document Dashboard</p></figcaption></figure>

To ensure the embeddings are created, go to **Responses** --> **Text** and confirm whether the embeddings are created.&#x20;

The **Embeddings** column displays the LLM name (OpenAI, Vertex AI, etc.). A tick signifies successfully created embedding and a cross signifies no embedding creation for that response. The **Tags** column indicate the source (document/website)

<figure><img src="/files/KjyA9K3y5eYFranfi1Ut" alt=""><figcaption><p>Successful Embeddings as Response from OpenAI</p></figcaption></figure>

**Troubleshooting**:

* If a file is stuck at queued, ensure that your account has not exceeded the respective tier Response Repo limit.
* If a file is stuck at the training phase, click on **Resync Source** <img src="/files/psv4kOM4sjnjgLoPXlUo" alt="" data-size="line">
* If embeddings are not created, ensure that your AI integrated account has not exceeded its token limit.