Jerry Liu#670
PrivateGPT is back!
In 2023, it became the first offline RAG implementation and a breakout open source project.
Then we went quiet in 2024.
Today, PrivateGPT 1.0 is here: a full application API layer for local AI.
https://github.com/zylon-ai/private-gpt
Jerry Liu#670PrivateGPT is back!
In 2023, it became the first offline RAG implementation and a breakout open source project.
Then we went quiet in 2024.
Today, PrivateGPT 1.0 is here: a full application API layer for local AI.
https://github.com/zylon-ai/private-gpt
Users are excited about PrivateGPT 1.0 launching as a production API for local AI inference because it looks fab and could become a killer app with added features like mesh compute.
Over the last two years, we kept building under Zylon.
We tested the on-premise private AI stack across real enterprise deployments, with real compliance needs, air-gap constraints, and production workloads.
The lesson was clear: running a model locally is only the beginning
PrivateGPT 1.0 sits above inference servers like @ollama, @vllm_project, llama.cpp by @ggerganov, or @lmstudio
You choose the model backend. PrivateGPT handles the application API layer on top.
Inference below. Apps above. PrivateGPT in the middle.