<h1>Agentic RAG as a LLM Pipeline</h1>
<p>Check it out : <a href="https://github.com/cloaky233/rag_new/" target="_blank" rel="noopener nofollow">Not just another AgenticRAG</a></p>
<h2>What makes it unique?</h2>
<ul>
<li>Web search and usefull knowledge extraction without using a <strong>Paid API</strong></li>
<li>Different <strong>LLMs</strong> doing different Tasks they specialize at</li>
<li><strong>3072</strong> Dimensional Embeddings powered by <strong>OpenAI</strong></li>
<li><strong>40+</strong> Models just by changing a env variable? -&gt; Thanks to <strong>Github Models</strong></li>
<li><strong>SurrealDB</strong> making the database super simple yet robust with multimodal capability!</li>
</ul>
<h2>This is still a work in progress with the first phase completed, A true MCP integration will surely make it a TRUE Agentic App!</h2>
<h3>My vision : <strong>To derive the speciality of multiple LLMs, Debating over a research question, web searching, knowledge extraction and synthesis without much hassle.</strong></h3>


Squad for devs building apps with GenAI and LLMs! Connect, share, exchange ideas, and get feedback. 

Build With GenAI

An open-source agentic RAG system that combines multiple specialized LLMs for different tasks, featuring free web search capabilities, 3072-dimensional OpenAI embeddings, support for 40+ models through GitHub Models, and SurrealDB for multimodal data storage. The project aims to enable LLM collaboration for research questions through web searching, knowledge extraction, and synthesis without relying on paid APIs.

Not just another Agentic RAG