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@ibm-self-serve-assets

Self Service Assets

Collection of enterprise solutions & AI frameworks for clients and ecosystem partners managed by IBM Ecosystem and Client Engineering

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  1. SuperKnowa SuperKnowa Public

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

    Jupyter Notebook 118 25

  2. Blended-RAG Blended-RAG Public

    Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

    Jupyter Notebook 89 9

  3. Watson-NLP Watson-NLP Public

    This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.

    Jupyter Notebook 64 35

  4. QueryCraft QueryCraft Public

    The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.

    Python 47 11

  5. JudgeIt-LLM-as-a-Judge JudgeIt-LLM-as-a-Judge Public

    Automation Framework using LLM-as-a-judge to evaluate of Agentic AI, RAG, Text2SQL at scale; that is a good proxy for human judgement.

    Python 36 6

  6. building-blocks building-blocks Public

    The Technology Building Block is a designed package of IBM capabilities that we can use immediately. It was engineered by IBM's Build Engineering team specifically to speed up our solution delivery…

    Python 23 10

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