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.

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Emerging

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.

Enterprise AI Knowledge Management Data Science Natural Language Processing Information Retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

116

Forks

27

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Jul 24, 2024

Commits (30d)

0

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