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Update README.md

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@@ -42,7 +42,7 @@ Each language is stored as a separate compressed file (`.db.gz`). There are two
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  ## How to Use This Dataset
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- ### 1. Command Line & Web Interface (Linux, macOS, Windows, Termux)
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  Wikilite runs primarily as a command-line tool that can also serve a local web interface.
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@@ -91,7 +91,7 @@ A native Android application is available that uses these exact databases.
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  * **Lexical Search:** Uses FTS5 for efficient, exact keyword matching.
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  * **Semantic Search:** Uses embedded GGUF models (via llama.cpp integration) contained within the database files to find content based on meaning, synonyms, and conceptual similarity.
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  * **Offline Operation:** Complete functionality without internet connectivity.
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- * **Cross-Platform:** Available for Linux, macOS, Windows, Termux, and Android.
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  ### Semantic Search Capabilities
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  The semantic search functionality employs text embeddings to handle:
@@ -110,5 +110,4 @@ If you would like to contribute databases for additional languages, please feel
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  * [Wikipedia](https://www.wikipedia.org/): For providing the valuable data.
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  * [SQLite](https://www.sqlite.org/): For the robust database engine.
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- * [LLaMA.cpp](https://github.com/ggml-org/llama.cpp): For enabling the internal generation of embeddings.
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  * [Wikilite](https://github.com/eja/wikilite): For the software powering these datasets.
 
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  ## How to Use This Dataset
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+ ### 1. Command Line & Web Interface (Linux, macOS, Windows, Android)
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  Wikilite runs primarily as a command-line tool that can also serve a local web interface.
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  * **Lexical Search:** Uses FTS5 for efficient, exact keyword matching.
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  * **Semantic Search:** Uses embedded GGUF models (via llama.cpp integration) contained within the database files to find content based on meaning, synonyms, and conceptual similarity.
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  * **Offline Operation:** Complete functionality without internet connectivity.
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+ * **Cross-Platform:** Available for Linux, macOS, Windows, and Android.
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  ### Semantic Search Capabilities
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  The semantic search functionality employs text embeddings to handle:
 
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  * [Wikipedia](https://www.wikipedia.org/): For providing the valuable data.
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  * [SQLite](https://www.sqlite.org/): For the robust database engine.
 
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  * [Wikilite](https://github.com/eja/wikilite): For the software powering these datasets.