# ibm-self-serve-assets/SuperKnowa

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

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

ibm-self-serve-assets/SuperKnowa, dépôt open source à 118 étoiles sur GitHub. Carte Prototype de RepoMasters. Build Enterprise RAG (Retriver Augmented…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [ibm-self-serve-assets](https://repo.masters-masters.com/owners/ibm-self-serve-assets) |
| Étoiles | 118 |
| Forks | 25 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Apache-2.0 |
| Création | 2023 |
| Sujets | ai, genai, large-language-models, llm, llmops, rag |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [ibm-self-serve-assets/SuperKnowa](https://github.com/ibm-self-serve-assets/SuperKnowa) |

## Fiche du dépôt

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

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.