Powered by Private GPT
Powered by Private GPT
Powered by Private GPT
Zylon is built by the founders of and over PrivateGPT - the most popular open source project for privacy in AI. Now it offers a fully customizable Private AI platform
Zylon is built by the founders of and over PrivateGPT - the most popular open source project for privacy in AI. Now it offers a fully customizable Private AI platform
Zylon is built by the founders of and over PrivateGPT - the most popular open source project for privacy in AI. Now it offers a fully customizable Private AI platform
Zylon & Private GPT
Two projects, one team
Two projects, one team
Two projects, one team
The open-source project that started it all
The open-source project that started it all
The open-source project that started it all
PrivateGPT was born in May 2023 and rapidly becomes the most loved AI open- source project on Github.
It's a production-ready framework offering context-aware Generative AI building blocks through a novel API.
PrivateGPT was born in May 2023 and rapidly becomes the most loved AI open- source project on Github.
It's a production-ready framework offering context-aware Generative AI building blocks through a novel API.
PrivateGPT was born in May 2023 and rapidly becomes the most loved AI open- source project on Github.
It's a production-ready framework offering context-aware Generative AI building blocks through a novel API.
Zylon: the evolution of Private GPT
Zylon: the evolution of Private GPT
Zylon: the evolution of Private GPT
While PrivateGPT offered a viable solution to the privacy challenge, usability was still a major blocking point for AI adoption in workplaces. Most companies lacked the expertises to properly train and prompt AI tools to add value.
PrivateGPT fuels Zylon at its core and is maintained and upgrated by our team, alongside the Open Source community. While any developer can build AI applications and experiences on top of PrivateGPT, Zylon encapsulates our vision for how AI products should be built for mass workplace adoption.
While PrivateGPT offered a viable solution to the privacy challenge, usability was still a major blocking point for AI adoption in workplaces. Most companies lacked the expertises to properly train and prompt AI tools to add value.
PrivateGPT fuels Zylon at its core and is maintained and upgrated by our team, alongside the Open Source community. While any developer can build AI applications and experiences on top of PrivateGPT, Zylon encapsulates our vision for how AI products should be built for mass workplace adoption.
While PrivateGPT offered a viable solution to the privacy challenge, usability was still a major blocking point for AI adoption in workplaces. Most companies lacked the expertises to properly train and prompt AI tools to add value.
PrivateGPT fuels Zylon at its core and is maintained and upgrated by our team, alongside the Open Source community. While any developer can build AI applications and experiences on top of PrivateGPT, Zylon encapsulates our vision for how AI products should be built for mass workplace adoption.
A fully customizable platform
A fully customizable platform
A fully customizable platform
Going the extra mile. Zylon is not just a workspace, it's a platform: It allows developers build on top of Zylon's infrastructure to create AI projects ensuring 100% privacy
54k+ Stars
7k+ Forks
With a strong community behind, PrivateGPT quickly became the most loved AI open sourced project for privacy in Ai.
Harrison Chase
LangChain CEO
PrivateGPT - this is sick! I've always had people asking me if it was feasible to use @LangChainAI with open source models, and my answer was "at the moment, not really..." but @PrivateGPT_AI did it! this is a huge step forward
Harrison Chase
LangChain CEO
PrivateGPT - this is sick! I've always had people asking me if it was feasible to use @LangChainAI with open source models, and my answer was "at the moment, not really..." but @PrivateGPT_AI did it! this is a huge step forward
Harrison Chase
LangChain CEO
PrivateGPT - this is sick! I've always had people asking me if it was feasible to use @LangChainAI with open source models, and my answer was "at the moment, not really..." but @PrivateGPT_AI did it! this is a huge step forward
LlamaIndex
Check out @PrivateGPT_AI Lets you easily spin up a RAG pipeline as a prod-ready API + in a fully local manner. Works out of the box, directly tackles enterprise needs around privacy. Query it similar to the @OpenAI API, or use as a @Gradio app!
LlamaIndex
Check out @PrivateGPT_AI Lets you easily spin up a RAG pipeline as a prod-ready API + in a fully local manner. Works out of the box, directly tackles enterprise needs around privacy. Query it similar to the @OpenAI API, or use as a @Gradio app!
LlamaIndex
Check out @PrivateGPT_AI Lets you easily spin up a RAG pipeline as a prod-ready API + in a fully local manner. Works out of the box, directly tackles enterprise needs around privacy. Query it similar to the @OpenAI API, or use as a @Gradio app!
Qdrant
@qdrant_engine X @PrivateGPT_AI With PrivateGPT, you can build context-aware AI apps based on your documents using Large Language Models (LLMs), even without an Internet connection. 100% private. Your data never leaves your environment .
Qdrant
@qdrant_engine X @PrivateGPT_AI With PrivateGPT, you can build context-aware AI apps based on your documents using Large Language Models (LLMs), even without an Internet connection. 100% private. Your data never leaves your environment .
Qdrant
@qdrant_engine X @PrivateGPT_AI With PrivateGPT, you can build context-aware AI apps based on your documents using Large Language Models (LLMs), even without an Internet connection. 100% private. Your data never leaves your environment .