Zakk-Yang/nexusync
Intuitive RAG system on top of LllamaIndex
NexuSync helps developers create systems that can answer questions using information from their own documents. You feed it a collection of files (like PDFs, Word docs, CSVs) and then it allows you to ask questions in natural language. The system provides accurate answers drawn directly from your specified documents, ideal for building internal knowledge bases or intelligent assistants.
No commits in the last 6 months. Available on PyPI.
Use this if you are a developer looking for a straightforward, flexible library to integrate a powerful question-answering system into your applications, using either local or cloud-based AI models.
Not ideal if you are an end-user without programming experience, as this tool requires coding to set up and configure.
Stars
15
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 08, 2024
Commits (30d)
0
Dependencies
13
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