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.
Why this job: says: rag; topics: rag
What it does
The overall pipeline of the SuperKnowa RAG framework & key building blocks:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 18 days ago
- Stars
- 118
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0
- Released 2 years ago
- Built with
- Jupyter Notebook
- 95% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 86% closed
- 2 still open
- Pull requests
- 17 merged
- 1 waiting
- Releases
- 2
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 95%
- Python 3%
- JavaScript 1%
- CSS <1%
Topics
- ai
- genai
- large-language-models
- llm
- llmops
- rag
Project record
- JobRAG and search
- StatusListed
- Commits301
- Forks25
- Watching6
- Stars in 28 days0
- CreatedJun 20, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026