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.
ibm-self-serve-assets/SuperKnowa
View on GitHub ↗Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.
SuperKnowa grew +0.0% in the last 30 days, ranks 1316th of 1,535 in Memory & Knowledge (RAG), actively maintained, last commit yesterday.
Star trajectory
115 days tracked+0.0% in 30d, below the Memory & Knowledge (RAG) median of +0.9%.
Last commit yesterday, fresher than the median of 16d.
How it compares in Memory & Knowledge (RAG)
Ranked 1316th of 1,535 by stars.
- Language
- Jupyter Notebook
- License
- Apache License 2.0
- Contributors
- 10
- Forks
- 25
- Watchers
- 6
- Open issues
- 2
- Releases
- 2
- Created
- 2023-06-20
- Stars this week
- +0
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