ibm-self-serve-assets/SuperKnowa
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.
This framework helps businesses build custom AI question-and-answer systems that can pull information from their private documents. It takes your company's internal PDFs or documents as input and generates accurate, context-aware answers to user questions, just like a smart chatbot. It's designed for data scientists or AI developers within large organizations who need to create powerful Generative AI applications using their own data.
116 stars. No commits in the last 6 months.
Use this if you need to build scalable, production-ready AI applications that can answer questions based on your organization's unique and extensive private data sources, ensuring information retrieval is accurate and relevant.
Not ideal if you're a small business or individual looking for a simple, off-the-shelf chatbot, or if you don't have large volumes of private enterprise data to leverage.
Stars
116
Forks
27
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 24, 2024
Commits (30d)
0
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