Knowledge Graphs: The Missing Piece in Most RAG Systems
<p>If you've been exploring AI agents recently, chances are you've come across RAG (Retrieval-Augmented Generation).</p> <p>A typical RAG system looks something like this:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Documents ↓ Chunking ↓ Embeddings ↓ Vector Database ↓ Similarity Search ↓ LLM </code></pre> </div> <p>This architecture has become the foundation for many AI assistants, chatbots, and knowledge-based agents.</p> <p>And for good reason.</p
Story Overview
If you've been exploring AI agents recently, chances are you've come across RAG (Retrieval-Augmented Generation).
A typical RAG system looks something like this:
Documents ↓ Chunking ↓ Embeddings ↓ Vector Database ↓ Similarity Search ↓ LLM This architecture has become the foundation for many AI assistants, chatbots, and knowledge-based agents.
And for good reason.