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docs/guides/tutorials/fastapi_gelai_searchbot.rst

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@@ -397,21 +397,19 @@ So far we've built an application that can take in a query, fetch top 5 Google
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search results for it, sift through them using an LLM, and generate a nice
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answer.
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However, right now it's hardly better than google, since you have to basically
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start over every time you want to refine the query. To enable more organic
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multi-turn interaction we need to add chat history, and in order to enable
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gradual query refinement, we need to infer query from that history. Let's do
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both using Gel.
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However, right now it's hardly better than Google itself, since you have to
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basically start over every time you want to refine the query. To enable more
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organic multi-turn interaction we need to add chat history, and in order to
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enable gradual query refinement, we need to infer the query from the context of
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the entire conversation.
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To start using Gel, first we need to initialize the project using the command
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line interface.
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Let's do both using Gel.
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.. code-block:: bash
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$ gel project init
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.. note::
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accept all defaults
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To get started with Gel, first we need to initialize the project using the
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command line interface.
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.. code-block:: bash
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$ gel project init --non-interactive
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Defining the schema
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-------------------

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