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title: Data Preparation | ||
description: Data Preparation | ||
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--- | ||
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# Data Preparation | ||
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- Staging work | ||
- Setup | ||
- Pre-requisites |
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title: Use Case Understanding | ||
description: Use Case Understanding | ||
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# Use Case Understanding | ||
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- Staging work | ||
- Setup | ||
- Pre-requisites |
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title: Data Proprocessing | ||
description: Data Proprocessing | ||
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# Data Proprocessing | ||
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## 1. Introduction | ||
Overview of data preprocessing for implemeting RAG. | ||
## 2. Input Data | ||
- Multiple Excel sheets with product information | ||
- Columns: product numbers, names, and other relevant data | ||
## 3. Data Merging | ||
- Merging multiple Excel sheets into a single dataset | ||
- Importance of data consistency and accuracy | ||
- beware of Spaces in cell (e.g. "Yes" vs "Yes ") | ||
## 4. Contextualizing Data for LLM and RAG | ||
- Concatenating columns into a single paragraph to create a contextualized representation of product data | ||
## 5. Preparing Data for Watson Discovery | ||
- Saving data as CSV files as Watson Discovery separates each CSV row into independent documents | ||
## 6. Conclusion | ||
- Recap of data preprocessing steps |
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docs/02-Create/01-sample.mdx → ...Create/02-Watson Discovery Setup copy.mdx
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title: Watsonx Assistant Setup | ||
description: Watsonx Assistant Setup | ||
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# Watsonx Assistant Setup | ||
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Details regarding the technical solution. What did you do and how you did it. | ||
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i.e. Deployment, installment, upgrade, configuration, automation. |
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title: Use Cases | ||
description: Use Cases | ||
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# Use Cases | ||
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What are the use cases we delivered for the engagement? Explain the use cases in detail. | ||
1. Product Related Questions | ||
- Question and Answer using NeuralSeek RAG | ||
2. Navigational Link | ||
- dynamic links based on user input | ||
3. Current Catalog Consumption | ||
- display information and images of charts |
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