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    <title>DEV Community: Abylay Keldibek</title>
    <description>The latest articles on DEV Community by Abylay Keldibek (@atomiomi).</description>
    <link>https://dev.to/atomiomi</link>
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      <title>Connect external data (RAG) to AI agent in minutes</title>
      <dc:creator>Abylay Keldibek</dc:creator>
      <pubDate>Thu, 13 Feb 2025 14:09:47 +0000</pubDate>
      <link>https://dev.to/atomiomi/connect-external-data-rag-to-ai-agent-in-minutes-40gc</link>
      <guid>https://dev.to/atomiomi/connect-external-data-rag-to-ai-agent-in-minutes-40gc</guid>
      <description>&lt;p&gt;Hello dev,&lt;/p&gt;

&lt;p&gt;If you’ve ever tried building an AI app that needs your own data, you know the pain — spinning up a vector database, writing scripts to fetch data from different sources, keeping data in sync… It’s a lot. &lt;/p&gt;

&lt;p&gt;So we thought, why not simplify this process and make it as simple as couple API calls? One to add data source and another to search across all your data.&lt;/p&gt;

&lt;p&gt;Well, that’s why we’re building RAG Engine - &lt;a href="https://rageninge.io" rel="noopener noreferrer"&gt;https://rageninge.io&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;To add data source to RAG Engine you make one API call, including your project API key and namespace (useful to keep data between your users separate)&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;curl -X POST https://ragengine.io/data-sources \
     -H "Content-Type: application/json" \
     -H "Authorization: Bearer YOUR_PROJECT_API_KEY" \
     -d '{
           "namespace": "user:1",
           "type": "website",
           "url": "https://mywebsite.com"
         }'
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;And to search across all your data just make another API call:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;curl -X GET "https://ragengine.io/search?query=...&amp;amp;namespace=user:1" \
     -H "Authorization: Bearer YOUR_PROJECT_API_KEY"

Response:
{
  "documents": [
    {
      "source": { "type": "website", "url": "https://mywebsite.com",
      "content": "...",
      "similarity_score": 3.99
    },
    {
      "source": { "type": "file", "filename": "pricing.txt" },
      "content": "...",
      "similarity_score": 3.11
    }
  ]
}
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;That’s it! In background RAG Engine ingests, processes, stores and keeps all your data in sync.&lt;/p&gt;

&lt;p&gt;We’re focusing on small startups and indie developers who don’t have time or resources to build RAG, that’s why we make pricing as low as possible:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Vector Database: Starting at $4/month for a DigitalOcean droplet (512 MB RAM, 10 GB SSD). Larger datasets require more resources, but it’s always at-cost with no markup.&lt;/li&gt;
&lt;li&gt;Embeddings: We pass along the exact OpenAI rates ($0.010 to $0.065 per 1M tokens), so no extra fees here either.&lt;/li&gt;
&lt;li&gt;Our fee: $4.99/month (first month free). This covers our ingestion pipeline and unified search.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;If you want to give RAG Engine a try - join waitlist&lt;/p&gt;

&lt;p&gt;&lt;a href="https://ragengine.io/" rel="noopener noreferrer"&gt;https://ragengine.io&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Or check our discord server (we are there right now and happy to chat)&lt;/p&gt;

&lt;p&gt;&lt;a href="https://discord.gg/Kz6JyTXjHm" rel="noopener noreferrer"&gt;https://discord.gg/Kz6JyTXjHm&lt;/a&gt;&lt;/p&gt;

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      <category>rag</category>
      <category>llm</category>
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