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    <title>topic Building GenAI Apps with Open Source in AI</title>
    <link>https://community.dynatrace.com/t5/AI/Building-GenAI-Apps-with-Open-Source/m-p/267981#M2</link>
    <description>&lt;P&gt;Building an AI application doesn't have to break the bank. The top AI development tools are open-source, fostering an evolving ecosystem that democratizes AI for everyone.&lt;/P&gt;
&lt;P&gt;Here are the essential elements of this open-source AI toolkit:&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Frontend Development&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;For creating stunning AI user interfaces, frameworks like NextJS and Streamlit are invaluable. Vercel also offers seamless deployment solutions.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Embeddings and RAG Libraries&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Embedding models and RAG libraries such as Nomic, JinaAI, Cognito, and LLMAware enable developers to implement precise search and RAG functionalities.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Backend and Model Integration&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Backend development is streamlined with frameworks like FastAPI, Langchain, and Netflix Metaflow. For model integration, tools like Ollama and Huggingface are excellent choices.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Data Storage and Retrieval&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Efficient data storage and retrieval can be achieved using options like Postgres, Milvus, Weaviate, PGVector, and FAISS.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Large-Language Models&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Open-source models like Llama, Mistral, Qwen, Phi, and Gemma offer competitive performance, serving as robust alternatives to proprietary models like GPT and Claude.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;What other tools would you recommend adding to the Open Source AI Toolkit? Let's discuss!&lt;/P&gt;</description>
    <pubDate>Tue, 21 Jan 2025 10:18:51 GMT</pubDate>
    <dc:creator>flo_lettner</dc:creator>
    <dc:date>2025-01-21T10:18:51Z</dc:date>
    <item>
      <title>Building GenAI Apps with Open Source</title>
      <link>https://community.dynatrace.com/t5/AI/Building-GenAI-Apps-with-Open-Source/m-p/267981#M2</link>
      <description>&lt;P&gt;Building an AI application doesn't have to break the bank. The top AI development tools are open-source, fostering an evolving ecosystem that democratizes AI for everyone.&lt;/P&gt;
&lt;P&gt;Here are the essential elements of this open-source AI toolkit:&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Frontend Development&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;For creating stunning AI user interfaces, frameworks like NextJS and Streamlit are invaluable. Vercel also offers seamless deployment solutions.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Embeddings and RAG Libraries&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Embedding models and RAG libraries such as Nomic, JinaAI, Cognito, and LLMAware enable developers to implement precise search and RAG functionalities.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Backend and Model Integration&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Backend development is streamlined with frameworks like FastAPI, Langchain, and Netflix Metaflow. For model integration, tools like Ollama and Huggingface are excellent choices.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Data Storage and Retrieval&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Efficient data storage and retrieval can be achieved using options like Postgres, Milvus, Weaviate, PGVector, and FAISS.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;STRONG&gt;Large-Language Models&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Open-source models like Llama, Mistral, Qwen, Phi, and Gemma offer competitive performance, serving as robust alternatives to proprietary models like GPT and Claude.&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;What other tools would you recommend adding to the Open Source AI Toolkit? Let's discuss!&lt;/P&gt;</description>
      <pubDate>Tue, 21 Jan 2025 10:18:51 GMT</pubDate>
      <guid>https://community.dynatrace.com/t5/AI/Building-GenAI-Apps-with-Open-Source/m-p/267981#M2</guid>
      <dc:creator>flo_lettner</dc:creator>
      <dc:date>2025-01-21T10:18:51Z</dc:date>
    </item>
    <item>
      <title>Re: Building GenAI Apps with Open Source</title>
      <link>https://community.dynatrace.com/t5/AI/Building-GenAI-Apps-with-Open-Source/m-p/299825#M172</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Are you introducing this topic because, like me, you are using a Dynatrace Managed and what to benefit of IA features ? What would you advise to exploit Dynatrace data in an isolated and secured network ?&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;</description>
      <pubDate>Thu, 21 May 2026 10:14:29 GMT</pubDate>
      <guid>https://community.dynatrace.com/t5/AI/Building-GenAI-Apps-with-Open-Source/m-p/299825#M172</guid>
      <dc:creator>gautier_begin</dc:creator>
      <dc:date>2026-05-21T10:14:29Z</dc:date>
    </item>
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