PrivateGPT

️ 🖼Tool name:
PrivateGPT

🔖 Tool classification:
PrivateGPT is classified as a tool for creating local (self-hosted) AI applications specialized in Retrieval and Generation (RAG), where the user can import their own documents and interact with them to generate answers or customized content without leaving the data to the user's environment.

️ ✏What does this tool offer?
PrivateGPT allows you to upload local documents such as PDFs, text, and documents, and then create an internal model that understands the content of these files. You can then ask questions, request summaries, or generate content based on that data, with an API similar to the OpenAI API, as well as a simple user interface to interact with the data locally.

⭐ What does it actually offer based on user experience?
Experience shows that PrivateGPT is well-suited for developers and organizations that need data protection, enabling the use of large language models while maintaining privacy. The project supports local operation via Docker, indexing content using vector stores, and retrieving accurate information from documents. Continuous improvements make the tool very practical and flexible.

🤖 Does it include automation?
Yes, the tool relies on comprehensive automation, analyzing documents, splitting them into appropriate parts, creating embeddings, indexing them, selecting the most appropriate parts when asking a question and then generating the answer using a linguistic model, all automatically without manual intervention.

💰 Pricing model:
PrivateGPT is fully open source, which means it's free for local use. It can run on your own machine or server at no cost, with full capabilities to upload documents, retrieve data, and interact with it. Use of any additional services or commercial versions of Zylon may require a separate commercial agreement.

🆓 F ree plan details:
The free plan is for open source code, where PrivateGPT can be downloaded and run locally with no restrictions on the number of documents or questions, with the only limitation being the user's machine resources such as CPU/GPU and storage memory.

💳 Paid plans details:
There is no paid plan within the PrivateGPT project itself. However, organizations that want a Zylon-managed turnkey service can subscribe to enterprise solutions to facilitate deployment and management with security and privacy guarantees, and pricing is determined by a commercial agreement.

🧭 How to access the tool:
PrivateGPT is accessible via the GitHub repository, where the code is downloaded and run locally using Python or Docker. After setup, documents can be imported and interacted with using the web interface or API directly.

🔗 Link to the demo or official website:
https://github.com/zylon-ai/private-gpt