PrivateGPT 2.0 - FULLY LOCAL Chat With Docs (PDF, TXT, HTML, PPTX, DOCX, and more)
PrivateGPT 2.0 - FULLY LOCAL Chat With Docs (PDF, TXT, HTML, PPTX, DOCX, and more), if you want to chat with your docs if you want to chat with your text files your PDFs csvs Excel files anything any type of document really this is such a great project private GPT is my most popular video of all time I made it months ago and since then the developers have built a ton of new functionality and really changed the course of private GPT completely and so today I'm going to show you the updated way to install it I'm going to show you all of the new features and we have a special guest at the end so let's go.
Introduction to Private GPT
This is private GPT, a completely open source project that allows you to chat with your documents. Whether you have text files, PDFs, CSVs, or any other type of document, private GPT provides a flexible and powerful solution. Since its initial release, the developers have continuously improved and expanded the functionality of private GPT, making it a top choice for individuals and developers alike.
Installing Private GPT
The installation process for private GPT has been greatly simplified. Follow these steps to get started:
Step 1: Clone the repository
Open your terminal and run the following command to clone the private GPT repository:
git clone [repository URL]
Step 2: Set up the Python environment
Next, navigate into the cloned directory and create a Python environment using the following command:
conda create -n privateGPT python=3.11
Step 3: Activate the environment
Activate the newly created environment using the following command:
conda activate privateGPT
Step 4: Install the UI and local version
Use Poetry, a Python dependency management tool, to install the UI and local version of private GPT:
poetry install -d wi_ui local
Step 5: Run the setup script
Run the setup script to complete the installation process:
poetry run python scripts/setup.py
Customizing Private GPT
Private GPT offers various customization options to meet your specific needs. One of the key settings can be found in the setup script. Open the settings.yml file to customize different aspects of private GPT, such as the model to use and the vector storage method.
Using Private GPT
Once you have installed and customized private GPT, it's time to start using it. The user interface provides options for querying documents, chatting with the language model, and retrieving context chunks from the vector database.
Querying Documents
To query documents, select the "Query Documents" mode in the user interface. You can then upload your desired document in various formats, such as PDF or TXT. Private GPT will process the document, convert it into a vector database, and allow you to chat with it.
Chatting with the Language Model
If you just want to chat with the language model, you can select the "LLM Chat" mode. This mode allows you to have a standard chat with the model without any retrieval functionality.
Retrieving Context Chunks
The "Context Chunks" mode enables you to view the data exchanged between the vector database and the language model. This can be useful for debugging or analyzing the interaction between the two components.
Private GPT API
Private GPT also provides an API that allows developers to integrate its functionality into their own applications. The API offers endpoints for document ingestion and completions, similar to the OpenAI API. This allows for easy integration and extensibility.
Ingesting Documents
The API includes a "ingest" endpoint for document ingestion. You can post a file to this endpoint and it will be processed and added to the private GPT system. Additionally, you can retrieve a list of all ingested documents using another endpoint.
Completions
The completions endpoint in the API allows for performing text completions using the private GPT model. This endpoint is similar to the OpenAI API and provides the same level of functionality. You can make API calls to interact with the model and get responses for text completions.
Interview with Ivonne Martinez
Ivonne Martinez, the original developer of private GPT and current project lead, shares her insights on the inspiration behind private GPT and the exciting features coming soon.
Question 1: What inspired you to build private GPT?
When I started exploring chatbot APIs and language models, I realized that privacy was a major concern for many organizations. This inspired me to create private GPT, a solution that allows users to chat with their documents locally without relying on external APIs. By leveraging existing open-source models and technologies, private GPT offers a privacy-focused and customizable chatbot experience.
Question 2: What are some upcoming features in private GPT?
We have several exciting features in the pipeline for private GPT. Firstly, we are working on expanding the API capabilities to include internet access and database integration. This will allow users to access additional data sources for enhanced chatbot functionality. Secondly, we are developing high-level tools or APIs for tasks like summarization and data extraction. Lastly, we are focusing on providing different setup possibilities to accommodate various deployment scenarios, including fully local setups, single instance setups, and distributed setups. These upcoming features will further enhance the usability and versatility of private GPT.
Conclusion
Private GPT 2.0 is a powerful and flexible solution for chatting with documents, providing users with a fully local and customizable chatbot experience. With its improved features and easy installation process, private GPT is an excellent choice for both end users and developers. Whether you want to chat with your text files, PDFs, or any other document type, private GPT offers a reliable and privacy-focused solution. Give it a try and explore the endless possibilities!
Frequently Asked Questions
1. Can I use private GPT with my own UI?
Yes, private GPT is fully flexible and can be integrated into any user interface of your choice. You can leverage the private GPT API to connect it with your preferred UI framework and design a seamless user experience.
2. Does private GPT support retrieval augmented generation?
Yes, private GPT offers retrieval augmented generation, allowing you to combine retrieval-based and generation-based approaches in your chatbot interactions. This enhances the overall performance and accuracy of the system.
3. Can I host my private GPT model on platforms like Amazon SageMaker?
Absolutely! Private GPT supports hosting on Amazon SageMaker and other similar platforms. You can set up your private GPT model on these platforms, enabling scalability and flexibility in your deployment process.
4. What are the system requirements for running private GPT?
The system requirements for running private GPT depend on the underlying models you choose and the scale of your deployment. Generally, a machine with a decent CPU and sufficient memory should be able to handle private GPT effectively. For GPU support, refer to the documentation for specific instructions.
5. Is private GPT suitable for enterprise use?
Yes, private GPT is designed with the enterprise ecosystem in mind. Its privacy-focused approach and customizable features make it an ideal solution for organizations with privacy concerns. With upcoming tools like summarization and data extraction, private GPT will further enhance its usability and impact in the enterprise sector.
