privateGPT Framework

A privateGPT Framework is a LMM-based Chatbot Framework that facilitates the creation of private context-aware AI applications.

• Context:
  • It can be adaptable with a High-level API or a Low-level API (for custom, complex pipeline implementations).
  • It can be based on LangChain, GPT4All, LlamaCpp, Chroma, and SentenceTransformers.
  • It can be considered as a production-ready AI project developed by imartinez.
  • It can be accessed and utilized through its Github repository.
  • …
• Example(s):
  • The release located at https://github.com/imartinez/privateGPT/releases/tag/v0.0.2.
  • …
• Counter-Example(s):
  • A OpenAI Assistant Platform.
  • A traditional chatbot that is not based on LLMs.
  • …
• See: Chatbot Framework.

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References

2023

• https://github.com/imartinez/privateGPT
  • QUOTE: Ask questions to your documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!
  • Built with LangChain, GPT4All, LlamaCpp, Chroma and SentenceTransformers.

2023

• Bing search
  • PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power of Large Language Models (LLMs), even in scenarios without an Internet connection. It is 100% private, meaning no data leaves your execution environment at any point 1. PrivateGPT is built on OpenAI’s GPT architecture and provides an API offering all the primitives required to build private, context-aware AI applications. The API is divided into two logical blocks: High-level API, which abstracts all the complexity of a RAG (Retrieval Augmented Generation) pipeline implementation, and Low-level API, which allows advanced users to implement their own complex pipelines 1. PrivateGPT is developed by imartinez and is available on GitHub 1.

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