# ibm-self-serve-assets/SuperKnowa

<https://repo.masters-masters.com/en/repos/ibm-self-serve-assets/SuperKnowa>

[Home](https://repo.masters-masters.com/en) › [ibm-self-serve-assets](https://repo.masters-masters.com/en/owners/ibm-self-serve-assets) › [SuperKnowa](https://repo.masters-masters.com/en/repos/ibm-self-serve-assets/SuperKnowa)

ibm-self-serve-assets/SuperKnowa has 118 stars on GitHub. Its RepoMasters card: Prototype tier. Build Enterprise RAG (Retriver Augmented Generation) Pipelines…

| Field | Value |
| --- | --- |
| Owner | [ibm-self-serve-assets](https://repo.masters-masters.com/en/owners/ibm-self-serve-assets) |
| Stars | 118 |
| Forks | 25 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | ai, genai, large-language-models, llm, llmops, rag |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ibm-self-serve-assets/SuperKnowa](https://github.com/ibm-self-serve-assets/SuperKnowa) |

## Repository

Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.