INSTALL_AND_USAGE.md

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+------
+
 # 🚀 Installation and Usage Guide
 
 Get up and running with our Amazon tabular semantic search engine in minutes.

README.md

@@ -66,6 +66,30 @@ Our recommendation for each article:
 | 1 | [Natural Queries for E-commerce with Tabular Semantic Search](https://decodingml.substack.com/p/forget-text-to-sql-use-this-natural) | Learn to build a tabular semantic search RESTful API server for Amazon e-commerce products using natural language queries. | • [1_eda.ipynb](1_eda.ipynb)</br>• [2_tabular_semantic_search_superlinked.ipynb](2_tabular_semantic_search_superlinked.ipynb) | `superlinked_app` |
 | 2 | [Text-to-SQL vs Tabular Semantic Search: The Future of Search](https://decodingml.substack.com/p/stop-using-text-to-sql-for-search) | Deep dive into how tabular semantic search with multi-attribute vector indexes works and what it offers in addition to text-to-SQL strategies. | • [3_tabular_semantic_search_text_to_sql.ipynb](3_tabular_semantic_search_text_to_sql.ipynb) | `superlinked_app` |
 
+----
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 ## 🏗️ Project Structure
 
 ```text
@@ -143,3 +167,27 @@ Open a [GitHub issue](https://github.com/decodingml/hands-on-retrieval/issues) f
 ## License
 
 This course is an open-source project released under the MIT license. Thus, as long you distribute our LICENSE and acknowledge your project is based on our work, you can safely clone or fork this project and use it as a source of inspiration for your educational projects (e.g., university, college degree, personal projects, etc.).
+
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