TiloBox
Back to directory
PrivateGPT project preview

PrivateGPT

100% private question-answering on documents using local LLMs with zero data leakage.

LicenseApache-2.0
GitHub stars52.5k
Last commit5 days ago
Tags5 topics
Local Llm AssistantAi Machine LearningOffline Chat PdfPrivate RagDocument Qa Ai
Overview

Why consider PrivateGPT?

PrivateGPT is a production-ready AI document assistant that enables question-answering on PDFs, Word docs, and text files without an internet connection. It leverages local embedding models and Ollama/Llama.cpp inference to protect enterprise data.

Guided learning

Learn PrivateGPT by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of PrivateGPT

PrivateGPT implements local Retrieval Augmented Generation (RAG) to query internal documentation securely.

Quickstart

bash
1# Run PrivateGPT locally
2git clone https://github.com/imartinez/privateGPT
3cd privateGPT
4poetry install --extras "ui llms-ollama embeddings-ollama vector-stores-qdrant"
5poetry run python -m private_gpt

Navigate to http://localhost:8001 to ingest PDF files and ask questions grounded entirely in your uploaded documents.

PrivateGPT is licensed under the Apache License 2.0.

Related tools

More options with a similar category or technology profile.

PrivateGPT FAQs

PrivateGPT is listed as a Ai Machine Learning tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

PrivateGPT is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

PrivateGPT is listed as an alternative to ChatPDF. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.