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    <title>topic Solution Accelerator Series | Building a Chatbot With Large Language Models (LLMs) in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/solution-accelerator-series-building-a-chatbot-with-large/m-p/159158#M856</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Customer service agents often deal with large volumes of questions and requests, which can lead to errors, slower responses and lower customer satisfaction. The &lt;/SPAN&gt;&lt;STRONG&gt;Building a Chatbot With Large Language Models (LLMs) Solution Accelerator &lt;/STRONG&gt;&lt;SPAN&gt;shows how organizations can use an internal knowledge base and LLMs to provide more consistent support and recommendations for customer service questions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources: &lt;/STRONG&gt;&lt;A href="https://notebooks.databricks.com/demos/ai-agent/index.html?itm_source=www&amp;amp;itm_category=resources&amp;amp;itm_page=ai-agent&amp;amp;itm_location=body&amp;amp;itm_component=cta-row&amp;amp;itm_offer=index.html#" target="_self"&gt;&lt;SPAN&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/SPAN&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ingest internal knowledge: &lt;/STRONG&gt;&lt;SPAN&gt;bring in content from an internal knowledge base.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ground responses in trusted content: &lt;/STRONG&gt;&lt;SPAN&gt;combine a pretrained LLM with knowledge extracted from the same documents used to train human agents.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Support customer service teams: &lt;/STRONG&gt;&lt;SPAN&gt;use LLMs to provide recommendations that address customer support questions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Improve consistency: &lt;/STRONG&gt;&lt;SPAN&gt;help agents deliver more consistent and expert-level assistance.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/solutions/accelerators/building-a-chatbot-with-large-language-models?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=accelerators&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=building-a-chatbot-with-large-language-models" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Launch Solution Accelerator &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 16 Jun 2026 14:05:30 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-06-16T14:05:30Z</dc:date>
    <item>
      <title>Solution Accelerator Series | Building a Chatbot With Large Language Models (LLMs)</title>
      <link>https://community.databricks.com/t5/announcements/solution-accelerator-series-building-a-chatbot-with-large/m-p/159158#M856</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Customer service agents often deal with large volumes of questions and requests, which can lead to errors, slower responses and lower customer satisfaction. The &lt;/SPAN&gt;&lt;STRONG&gt;Building a Chatbot With Large Language Models (LLMs) Solution Accelerator &lt;/STRONG&gt;&lt;SPAN&gt;shows how organizations can use an internal knowledge base and LLMs to provide more consistent support and recommendations for customer service questions.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;With this Accelerator, you get&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ready-to-use resources: &lt;/STRONG&gt;&lt;A href="https://notebooks.databricks.com/demos/ai-agent/index.html?itm_source=www&amp;amp;itm_category=resources&amp;amp;itm_page=ai-agent&amp;amp;itm_location=body&amp;amp;itm_component=cta-row&amp;amp;itm_offer=index.html#" target="_self"&gt;&lt;SPAN&gt;pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook&lt;/SPAN&gt;&lt;/A&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ingest internal knowledge: &lt;/STRONG&gt;&lt;SPAN&gt;bring in content from an internal knowledge base.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Ground responses in trusted content: &lt;/STRONG&gt;&lt;SPAN&gt;combine a pretrained LLM with knowledge extracted from the same documents used to train human agents.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Support customer service teams: &lt;/STRONG&gt;&lt;SPAN&gt;use LLMs to provide recommendations that address customer support questions.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Improve consistency: &lt;/STRONG&gt;&lt;SPAN&gt;help agents deliver more consistent and expert-level assistance.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/solutions/accelerators/building-a-chatbot-with-large-language-models?itm_source=www&amp;amp;itm_category=solutions&amp;amp;itm_page=accelerators&amp;amp;itm_location=body&amp;amp;itm_component=general-asset-card&amp;amp;itm_offer=building-a-chatbot-with-large-language-models" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; Launch Solution Accelerator &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_left:"&gt;👈&lt;/span&gt;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Jun 2026 14:05:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/solution-accelerator-series-building-a-chatbot-with-large/m-p/159158#M856</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-06-16T14:05:30Z</dc:date>
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