private-gpt vs RAGapp
Side-by-side comparison of two AI agent tools
Short answer
- RAGapp has had no commit in 23 months; private-gpt is actively maintained (62 commits in the last 90 days).
- private-gpt is growing faster: +56 GitHub stars in the last 30 days vs +6 for RAGapp.
- Pick private-gpt for: interact with your documents using the power of GPT, 100% privately, no data leaks. Pick RAGapp for: the easiest way to use Agentic RAG in any enterprise.
From GitHub data refreshed daily.
private-gptopen-source
Interact with your documents using the power of GPT, 100% privately, no data leaks
RAGappopen-source
The easiest way to use Agentic RAG in any enterprise
Metrics
| private-gpt | RAGapp | |
|---|---|---|
| Stars | 57.6k | 4.4k |
| Star velocity /mo | 55.89473684210526 | 5.842105263157895 |
| Commits (90d) | 62 | 0 |
| Releases (6m) | 4 | 0 |
| Overall score | 0.5274831341481462 | 0.1851795233490897 |
Pros
- +Complete data privacy with 100% local processing and no external data transmission
- +Production-ready with comprehensive API following OpenAI standards and streaming support
- +Flexible architecture offering both high-level RAG pipeline and low-level API for custom implementations
- +Zero-config Docker deployment with comprehensive UI stack (admin, chat, API) included out of the box
- +Enterprise-grade architecture supporting both cloud and on-premises models with built-in vector database integration
- +Production-ready with pre-built Docker Compose templates for common scenarios like Ollama + Qdrant deployment
Cons
- -Requires significant local compute resources to run LLMs effectively
- -Setup complexity may be challenging for non-technical users
- -Limited to documents that can be processed and stored locally
- -No built-in authentication layer - requires external API gateway or proxy for user management
- -Limited customization of UI components compared to building a custom solution
- -Authorization features are still in development for access control based on user tokens
Use Cases
- •Enterprise document analysis for regulated industries requiring complete data privacy
- •Offline research and document querying in environments without internet connectivity
- •Building custom AI applications with contextual document understanding without cloud dependencies
- •Enterprise document search systems where teams need to query internal knowledge bases with natural language
- •Customer support automation where agents need instant access to product documentation and policies
- •Research and development environments where scientists need to search through technical papers and reports
FAQ
- Which is more popular, private-gpt or RAGapp?
- private-gpt has more GitHub stars (57,558 vs 4,447).
- Which is more actively developed, private-gpt or RAGapp?
- private-gpt had more commits in the last 90 days (62 vs 0).
- Should I use private-gpt or RAGapp?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.