PrivateGPT
PrivateGPT lets you chat with documents using local AI models for free. 100% private, no cloud. Setup guide, features & alternatives.
Yes, PrivateGPT is 100% free to use. Evaluated for Local Document AI: PrivateGPT delivers verified capabilities. Best for creators, professionals, and developers looking for reliable workflows without upfront credit card paywalls.
PrivateGPT is a free, open-source tool that lets you chat with your documents using local AI models. It supports PDFs, Word docs, and CSVs, runs completely offline, and never sends your data to the cloud. Built on retrieval-augmented generation (RAG) for source-grounded answers.
Quick Facts: Architecture, Quotas & Sign-Up
What Is PrivateGPT?
PrivateGPT is a production-ready, open-source AI project that enables users to query their private documents using local large language models without sending a single byte of data to external cloud servers. Utilizing retrieval-augmented generation (RAG), PrivateGPT extracts factual answers directly with page-level citations.
How to Install PrivateGPT
PrivateGPT can be set up via Docker or native Python virtual environments. It features automated installation scripts and connects with local backends like Ollama and llama.cpp for GPU-accelerated embeddings and response generation.
PrivateGPT Features
Core capabilities include contextual chunking, local vector embedding storage via Qdrant/Chroma, exact document citation references, and a clean web UI for uploading PDFs, legal contracts, medical reports, and financial spreadsheets.
PrivateGPT vs Ollama vs AnythingLLM
While Ollama provides the foundational local model runner, PrivateGPT is a specialized document intelligence layer. AnythingLLM offers an alternative packaged desktop app, but PrivateGPT provides an enterprise-grade Python API ready for software integration.
Is PrivateGPT Truly Private?
Yes. PrivateGPT was specifically architected for healthcare, legal, and defense sectors requiring 100% air-gapped data confidentiality. Your documents and queries never leave your local storage or corporate intranet.
Hands-On Testing: What We Liked & What Annoyed Us
- 100% private document question-answering with zero data egress
- Runs completely offline on local hardware via Ollama / llama.cpp
- Fully open-source under Apache 2.0 with production API standards
- Requires setting up Python environment and local embeddings
- Processing speed depends heavily on local CPU/GPU performance
Nathan independently audits generative AI pipelines, pricing architectures, and quota claims to protect developers and creators from subscription traps.
Frequently Asked Questions: PrivateGPT
Is PrivateGPT free?
Yes, the open-source version of PrivateGPT is completely free under the Apache 2.0 license.
What documents can PrivateGPT read?
PrivateGPT supports PDFs, Word documents (.docx), plain text files (.txt), Markdown (.md), and tabular data (.csv).
Does PrivateGPT require internet access?
No, once installed with local model weights, PrivateGPT runs completely offline in an air-gapped environment.
What is the difference between PrivateGPT and Ollama?
Ollama is a command-line engine for running LLMs, while PrivateGPT provides a complete RAG system with document search and citations.