# Knowledge Table

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Demo of Knowledge Table Usage
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1. Go to **>> Project >> Knowledge Table**

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2Foku0LJklfJoUK5dHpYO3%2FScreenshot%20(88).png?alt=media&#x26;token=786e585d-22aa-418a-aefb-3ea222257b61" alt=""><figcaption></figcaption></figure>

1. Create a **New Knowledge Table** with your desired Table ID (table name) and pick a **Text Embedding Model.**

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FX4PAUURboC8cdOobgeOT%2FScreenshot%20(245).png?alt=media&#x26;token=f75aa5d7-4f40-4d21-8f28-6f42603b7719" alt=""><figcaption></figcaption></figure>

1. Open the table that you have just created. **Upload** **your files** to fill up the **Knowledge Table.**

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FBpmrKGz2FrTJYq402sRw%2FScreenshot%20(138).png?alt=media&#x26;token=219ca70d-28e0-46dd-881a-e45e0e89d84d" alt=""><figcaption></figcaption></figure>

***And.... Let the magic begins. Jamjam** will cast an extraction spell to process your files into Knowledge Rows which you can quickly search up later.*

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FUqArVeoVmjmfoTKFgRPD%2FScreenshot%20(216).png?alt=media&#x26;token=f70feb1c-a991-455e-b2ce-3b7dcf70503c" alt=""><figcaption></figcaption></figure>

When it is done you will see the **Knowledge Table** is filled with **Knowledge Rows.**

3. Now it is ready to be used for **Searching! Checkout** [action-table](https://docs.jamaibase.com/using-the-platform/action-table "mention") **and** [chat-table](https://docs.jamaibase.com/using-the-platform/chat-table "mention") on How-To -Use the **Knowledge Table**.

## Advanced LLM Magic

1. After you created a new Knowledge Table, add new Output Column (**>> Action >> Add&#x20;**<mark style="color:orange;">**output**</mark>**&#x20;column)**

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FK4JOS4mzGGys7aWSuvv2%2FScreenshot%20(247).png?alt=media&#x26;token=e8ae0cdf-71fa-4390-bfc4-d56cd6770113" alt=""><figcaption></figcaption></figure>

2. Setup your Knowledge LLM Agent. It will help you to further process the text content to enrich your **Knowledge Row**.

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FUk15s9IXEcORlTC2ZPra%2FScreenshot%20(248).png?alt=media&#x26;token=bd3e1541-659b-4837-955f-f61fe6ff720e" alt=""><figcaption></figcaption></figure>

To setup LLM Agent, follow this spell template:

* Column ID: \<The title of the column>
* Data Type: **str**
* Models: The LLM models.
* Temperature: 0.1
* Max Tokens: 512
* Top-p: 1.0
* Customize prompt: \<Prompt to process the Input columns>

*To refer to the column content, you can click on the Columns Title listed and it will be automatically referenced in the prompt in the form of `${Column ID}`.*

<figure><img src="https://949944545-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRNnvWSkFcg9eUeFklENf%2Fuploads%2FtodiTCXKrqoqPQmj13zs%2FScreenshot%20(248)%20-%20cropped.png?alt=media&#x26;token=4ef7983b-cad5-4ce9-9e31-7c7fb01ac55f" alt=""><figcaption></figcaption></figure>

* Customize system prompt: \<Agent system prompt>

3. Let's start using the **Knowledge Table** and see the LLM agent magically process your **Knowledge Row** when you upload files to the **Knowledge Table**.