Local AI Assistant : Deploy Ollama and AnytingLLM on Jetson
Introduction
Local AI Assistant is an artificial intelligence application that runs on local hardware and software, offering intelligent interaction and data processing capabilities. It operates independently of cloud services, protecting user privacy while providing quick response times and high levels of customization.
In this wiki, we will demonstrate how to set up a local knowledge base on Jetson devices with ollama and AnythingLLM. By leveraging the powerful capabilities of large language models, we aim to enhance our work efficiency.
Prerequisites
- Jetson device with more than 16GB of memory.
- The hardware device needs to be pre-flashed with the jetpack 5.1.1 operating system.
In this wiki, we will accomplish the following tasks using the NVIDIA® Jetson AGX Orin™ 64GB Developer Kit, but you can also try using other Jetson devices.
Getting Started
Hardware Connection
- Connect the Jetson device to the network, mouse, keyboard, and monitor.
Of course, you can also remotely access the Jetson device via SSH over the local network.
Install and Run Ollama
Here, we highly recommend using jetson-examples to quickly deploy Ollama on your Jetson device.
Step1. Open a terminal on jetson device and run the following command to install jetson-examples:
sudo apt install python3-pip
pip3 install jetson-examples
Step2. To deploy ollama on Jetson device with a single command, we can run:
reComputer run ollama
Step3. Download the Llama3 large model using Ollama:
ollama run llama3
Please keep this terminal active.
Install and Run AnythingLLM
We can conveniently install AnythingLLM using a local Docker setup.
Step1. Run AnythingLLM on Jetson.
Reopen the terminal and enter the following command:
docker pull mintplexlabs/anythingllm
export STORAGE_LOCATION=$HOME/anythingllm
mkdir -p $STORAGE_LOCATION
touch "$STORAGE_LOCATION/.env"
docker run -d -p 3001:3001 --cap-add SYS_ADMIN \
-v ${STORAGE_LOCATION}:/app/server/storage \
-v ${STORAGE_LOCATION}/.env:/app/server/.env \
-e STORAGE_DIR="/app/server/storage" \
mintplexlabs/anythingllm
Step2. Configure your own local knowledge base.
To access the full application, visit http://<jetson-ip>:3001 in your browser.
You can enter the ifconfig command on the Jetson terminal to find its IP address.
Follow the on-screen prompts to complete the configuration of AnythingLLM.
Please note that on the configuration page of LLM Perference, we should select Ollama's Llama 3.1 large language model.
Finally, import the necessary documents. The large language model will then answer questions based on the imported documents.
import --> click to upload or drag and drop --> select document --> move to Workspace --> save and embed
At this point, you have successfully set up your own local knowledge base.
For more in-depth configuration tutorials, please refer to this link.
Let's Run It
Enter questions in the dialogue box, and the large language model will provide answers based on the knowledge base.
story1.txt
Once upon a time in a quaint village nestled between rolling hills, there was a young girl named Eliza who loved to explore the woods behind her home. The forest was a magical place, filled with tall trees that whispered secrets, streams that sang soft melodies, and flowers that seemed to glow under the moonlight.
One sunny morning, Eliza set out on one of her adventures, her heart brimming with excitement. As she wandered deeper into the forest, she discovered a hidden path she had never seen before. The path was lined with shimmering stones that sparkled like stars. Curious and intrigued, Eliza followed it.
After a short walk, the path led her to a magnificent clearing where a majestic oak tree stood in the center. At the base of the tree was a small, ornate door. It was covered in intricate carvings of animals and vines. Eliza, with her heart pounding with both excitement and nervousness, gently pushed the door open.
Inside, she found herself in a cozy, enchanted room. There were shelves lined with books and strange artifacts, and a warm fire crackling in a stone hearth. In the middle of the room, a wise old owl perched on a branch of a large, leafy plant.
The owl looked at Eliza with kind, knowing eyes. “Welcome, young traveler,” it hooted softly. “I am Oliver, the guardian of this magical realm. Few people find their way here. You must have a special heart.”
Eliza’s eyes widened in awe. “What is this place?” she asked.
“This is the Realm of Wonders,” Oliver explained. “It is a place where dreams come to life and where those with pure intentions can find their heart’s true desire.”
Eliza gazed around the room, her curiosity piqued. “What can I do here?”
Oliver smiled. “You can make a wish. But remember, wishes made here come with great responsibility. They have the power to change not just your life but the lives of those around you.”
Eliza thought long and hard. She remembered how her village had been struggling with drought and how her friends and family were suffering. With a determined look, she made her wish.
“I wish for rain to fall upon my village and bring life back to the land.”
Oliver nodded approvingly. “A selfless wish. It will be granted.”
The next morning, as Eliza returned to her village, dark clouds gathered in the sky, and a gentle rain began to fall. The villagers looked up in amazement as the parched earth drank in the life-giving water. The fields began to turn green, and the village flourished once more.
Eliza’s heart swelled with joy as she realized the impact of her wish. The Realm of Wonders had given her the chance to make a difference, and she learned that true magic comes from caring for others.
From that day on, Eliza continued to explore the woods, knowing that the true wonders of life were found in kindness and selflessness.
And so, the village thrived, and Eliza’s adventures became the stuff of legends, reminding everyone that magic, indeed, begins with a kind heart.
Effect Demonstration
Here, we use the configured local personal assistant to query the information we need.
References
- https://ollama.com/library/llama3.1
- https://anythingllm.com/
- https://www.youtube.com/watch?v=4UFrVvy7VlA&t=4s
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