"Cognee is an open-source AI tool designed to enhance the performance of Large Language Models (LLMs) and optimize AI infrastructure. Serving as a powerful AI memory engine, Cognee leverages advanced machine learning techniques to replicate human-like cognitive processes, allowing LLMs to produce more reliable and relevant output. By creating 'memories' based on provided data, Cognee helps improve the understanding of diverse datasets, including unstructured text, raw media files, PDFs, and tables. This innovative approach maps out knowledge graphs and uncovers hidden connections in data, enhancing the ability of LLMs to answer queries with greater accuracy. With scalability as a core feature, Cognee can handle large volumes of data and adapt to growing business demands without compromising performance. The tool integrates seamlessly with existing technology stacks, supporting a wide range of data ingestion sources and offering cost-effective solutions compared to traditional API-driven methods. Cognee ensures quick implementation, providing developers with user-friendly abstractions for rapid integration. Deployed on a user’s own systems, it guarantees full control, security, and regulatory compliance, making it a reliable and secure choice for businesses looking to optimize their AI systems. This revised description includes keywords such as ""AI memory engine,"" ""large language models,"" ""machine learning techniques,"" ""data understanding,"" ""knowledge graphs,"" ""scalability,"" and ""AI systems optimization,"" to boost visibility and search engine rankings."