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added welcome message file

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+ ## Welcome!
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+
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+ *⚠️ This is a private demo using my own OpenAI API key. Please use responsibly. ⚠️*
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+
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+ This chatbot uses retrieval augmented generation (RAG) to answer questions about topics
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+ that are discussed in my master thesis. My master thesis can be found on the [GitHub repo](https://github.com/leonardpasi/mythesis-chatbot) of the project.
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+
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+ Here you get to choose between three RAG techniques:
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+ - **classic retrieval** (which includes a reranker model, so it's actually not the simplest RAG imaginable)
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+ - **sentence window retrieval**
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+ - **auto-merging retrieval**
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+
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+ Feel free to experiment with different modes! Note that a little extra delay is to be expected when switching to another mode.
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+ Also, note that all your queries (as well as system responses) are automatically logged on a remote PostgreSQL database for continuous monitoring of the deployed systems.
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+ Each of these systems has been optimized for performance by doing a grid search on the
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+ relevant parameters. Performance is quantified with five metrics:
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+ - **context relevance**: is the retrieved context relevant to the query?
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+ - **groundedness**: is the response supported by the context?
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+ - **answer relevance**: is the response relevant to the query?
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+ - **cost**
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+ - **latency**