How to Create a Personal AI Assistant with LocalGPT

Have you ever wished you could chat with your documents and ask them questions without an internet connection? Have you ever wanted to have a personal AI assistant that can help you with your tasks and projects, without your privacy or data security? If you answered yes to any of these questions, then you might be interested in LocalGPT.

In this article, we will explain what LocalGPT is, why you might want to create a personal AI assistant with it, how to install and set up LocalGPT, how to ingest documents into LocalGPT, how to chat with your documents using LocalGPT, and what are the benefits and limitations of LocalGPT.

What is LocalGPT?

LocalGPT is a project that was inspired by the original privateGPT. It is a tool that allows you to chat with your documents on your local device using GPT models. No data leaves your device and 100% private. You can use LocalGPT to ask questions to your documents without an internet connection, using the power of large language models (LLMs).

LocalGPT is built with LangChain and Vicuna-7B, which are open-source frameworks for building NLP applications. It also uses InstructorEmbeddings, which are embeddings that can guide the LLMs to generate relevant responses. LocalGPT can handle various file types, such as .txt, .pdf, .csv,and can index and search across multiple documents.

Why Create a Personal AI Assistant with LocalGPT?

Privacy: With LocalGPT, you don’t need to worry about sending your data to third-party servers or cloud services. All the processing happens on your local device, and no data leaves your device at any point. You can chat with your documents without an internet connection, and without exposing your sensitive or confidential information.

Customization: With LocalGPT, you can create a personal AI assistant that suits your needs and preferences. You can choose which documents you want to ingest into LocalGPT, and how you want to organize them. You can also customize the behavior and personality of your chatbot, by tweaking the parameters and settings of the LLMs.

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Offline use: With LocalGPT, you can access your documents and chat with them anytime, anywhere. You don’t need to rely on an internet connection or a web browser. You can run LocalGPT on any device that supports Python, such as a laptop, a desktop, or even a Raspberry Pi.

Application development: With LocalGPT, you can also use the API to build applications that leverage the power of LLMs and NLP. You can integrate LocalGPT with other tools and platforms, such as web frameworks, voice assistants, chatbots, etc. You can also extend the functionality of LocalGPT by adding new features and modules.

How to Install and Set up LocalGPT?

LocalGPT is a project that allows you to communicate with your documents on your local device using GPT models. To install and set up LocalGPT on your device, you will need the following requirements in your pc such as Python 3.8 or higher, Pip installation, Conda, CUDA its optional for installation. The installation steps are as follows:

  • Clone or download the LocalGPT repository from GitHub.

git clone https://github.com/PromtEngineer/localGPT.git

  • Next to Create a conda environment to enter the following command,

conda create -n localgpt_api python=3.10.0

  • After creating the conda environment, activate the conda environment with the following command:

conda activate localgpt

  • The next step is to install all the requirements for creating an environment.

pip install -r requirements.txt

If you want to use GPU acceleration for faster inference, you will need CUDA 11 or higher installed on your device. You will also need to set some flags for llama-cpp, which is a library that LocalGPT uses for indexing and searching. You can do this by running CMAKE_ARGS=”-DLLAMA_CUBLAS=on” FORCE_CMAKE=1 pip install -r requirements.txt.

Alternatively, you can use Docker to install and run LocalGPT. You will need Docker, BuildKit, your Nvidia GPU driver, and the Nvidia container toolkit installed on your device. You can build the Docker image with docker build . -t localgpt, and run it with docker run -it -mount src=”$HOME/.cache”,target=/root/.cache,type=bind -gpus=all localgpt.

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How to Ingest Documents into LocalGPT?

Put all your documents that you want to chat with into the SOURCE_DOCUMENTS directory in the LocalGPT repository. You can use any of the supported file types, such as .txt, .pdf, .csv, or .xlsx. If you want to use other file types, you will need to convert them to one of the supported file types first.

Run the ingest.py script with python ingest.py. This will process all the documents in the SOURCE_DOCUMENTS directory and create an index file called index.llama in the localGPTUI directory. This index file will store all the information about your documents, such as their names, contents, embeddings, etc.

Optionally, you can also specify some arguments for the ingest.py script, such as the device type (-device_type), the batch size (-batch_size), the number of workers (-num_workers), and the verbosity level (-verbosity). For example, if you want to use CPU instead of GPU for ingesting documents, you can run python ingest.py -device_type cpu.

How to Chat with Your Documents Using LocalGPT?

Run the following command to start the LocalGPT API python run_localGPT_API.py. This will launch a graphical user interface (GUI) that allows you to interact with LocalGPT. You will receive a link at the bottom of the page. Open up a web browser and go the address http://localhost:5111/.

Select a document that you want to chat with from the list. After that file upload confirmation that is Add, Reset, Cancel. You will see some information about the document, such as its name, size, type, and number of words. You will also see a preview of the document’s content in the chat window.

Type your question or query in the input box at the bottom of the chat window and press search. LocalGPT will use the LLM and the InstructorEmbeddings to generate a response based on the document’s content and context. You will see the response in the chat window, along with some metadata, such as the response time and perplexity score.

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You can continue chatting with the document by typing more questions or queries in the input box. You can also switch to another document by selecting it from the list. You can also clear the chat history by clicking on the Clear button at the top of the chat window.

You can also check out our blog, LocalGPT: The Future of Document Management for more tips and tutorials on LocalGPT: The Future of Document Management. LocalGPT is an intriguing new technology that can assist businesses in meeting these difficulties.

Benefits of Using LocalGPT

  • Privacy: Your data is never transferred to the cloud, so you can be confident that your documents are safe.
  • Customization: You can design your own Personal AI Assistant helper based on your needs and interests.
  • Offline use: You can access your documents and talk with them at any time, from any location, even if you don’t have an online connection.
  • Application development: The API can be used to create Personal AI Assistant applications that take benefit of the power of LLMs and NLP.

Limitations of Using LocalGPT

Resource consumption: LocalGPT Personal AI Assistant consumes a lot of resources to execute, such as memory, storage space, CPU, GPU, and so on. To operate LocalGPT smoothly and efficiently, you will need a capable device. You will need a powerful device to run LocalGPT smoothly and efficiently.

Response quality: LocalGPT generates responses based on your documents and queries using LLMs. However, LLMs are not flawless; they can occasionally produce irrelevant, erroneous, illogical, or nonsensical responses. To assess the quality of LocalGPT replies, you will need to utilize your own judgment and common sense.

Document compatibility: LocalGPT supports a variety of file formats, including.txt,.pdf,.csv, and.xlsx. However, some file types, such as.docx,.pptx,.html, and so on, may not be compatible with LocalGPT. Before importing these file types into LocalGPT, you must convert them to one of the allowed file types.

FAQs

Conclusion

In this article, we have explained how to create a personal AI assistant with LocalGPT. We hope that this article has given you a better understanding of how to use LocalGPT to create your own personal AI assistant that can help you with your work and personal needs look like Personal AI Assistant.