reichenbch/RAG-examples
Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.
This project helps you turn your private documents into a powerful question-answering system. You provide your own documents, and it helps you build a system that can answer questions about them and extract information. This is useful for anyone who needs to quickly find answers or parse information from a large collection of their own text, without sharing it publicly.
No commits in the last 6 months.
Use this if you want to create a custom AI assistant that can accurately answer questions based on your specific, private documents.
Not ideal if you need an out-of-the-box solution for audio transcription or text-to-speech, as these features are not currently implemented.
Stars
60
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 01, 2024
Commits (30d)
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