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Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land. Here is a quick video:
Cognee is open-source and outperforms any basic vector search approach in terms of retrieval relevance. • Easy to use • Reduces hallucinations (by a ton!) • Open-source Here is a link to the repository: <a target="_blank" href="https://github.com/topoteretes/cognee" color="blue">github.com/topoteretes/co…</a>
Here is the paper explaining how Cognee works and achieves these results: <a target="_blank" href="https://arxiv.org/abs/2505.24478" color="blue">arxiv.org/abs/2505.24478</a>
I also published the video on my YouTube channel: <a target="_blank" href="https://youtu.be/n9AkZatSlUc" color="blue">youtu.be/n9AkZatSlUc</a>