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refactor readme
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ch6/README.md

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@@ -98,16 +98,16 @@ The pipelines can be found here:
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1. [Indexing pipeline with custom components to extract, chunk and embed information from a JSONL file](./indexingpipeline.py)
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2. [Querying pipeline with prompt templating to retrieve information](./query_pipeline.png)
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![](./benzinga_pipeline.png)
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![](./case-I-q-and-a-dataset/benzinga_pipeline.png)
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Indexing pipeline
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![](./query_pipeline.png)
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![](./case-II-q-and-a-complex/answer_generation_pipeline.png)
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Query pipeline
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### Case II: Q&A for a complex knowledge base
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The notebook includes an indexing pipeline to extract, chunk and embed information from the Haystack tutorials as well as a querying pipeline with a specific role (software engineer) to build code from the tutorials.
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[Notebook](./bonus-build-from-tutorials/rag-tutorials.ipynb)
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[Notebook](./case-II-q-and-a-complex/rag-tutorials.ipynb)
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