Prometh
Cognee is an AI-driven tool designed to help users build robust and deterministic AI memory systems. The tool provides users with assistance in context sanitization, metadata indexing, data preparation, knowledge extraction, and data enrichment.
This focus on detail aids in fine-tuning AI architecture and memory. Moreover, using Cognee converts your unstructured pieces of knowledge into structured data nodes and connections in a knowledge graph, thereby maintaining connections with all the relevant nodes.
As a result, querying for information becomes a smooth process as Cognee, navigates through the knowledge graph, extracting the required details and structuring the output.
Cognee also lends itself to easy integration with existing systems, as exemplified by Keepi.ai's utilization of the tool. This plug-and-play approach allows for a swift upgrade in the knowledge save and retrieval capabilities of a system, alongside an improvement in both the accuracy and speed of retrievals.
The tool across applications aims to enhance and scientifically test parameters like document quantity and chunk sizes, reliably linking memories, and organizing memory elements for a human-like understanding to build a robust Recall and Answer Generation (RAG) model.
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