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Case Studies

Explore real-world applications of cognee, demonstrating how it enhances accuracy and efficiency of AI apps and agents across various domains. From improving chatbot responses to optimizing code assistants and streamlining human resources processes, our case studies showcase the effectiveness of Graph-RAGs in delivering high-accuracy, cost-effective AI solutions.

What Is a Knowledge Base? (and Why Most of Them Stop Working)

What Is a Knowledge Base? (and Why Most of Them Stop Working)

LLM vs Generative AI: Comparing Models, Memory, and Architecture

LLM vs Generative AI: Comparing Models, Memory, and Architecture

Best Vector Database: Choosing for Search, RAG, and AI Memory

Best Vector Database: Choosing for Search, RAG, and AI Memory

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Latest Integrations

Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
Use Qdrant TurboQuant in cognee with one env var to shrink stored vectors by about 8x without retraining, codebooks, or per-dataset tuning.
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
Scrape live web data and build a knowledge graph for AI agents with ScrapeGraphAI + Cognee. Build a memory system that understands your data. Follow the step-by-step guide now.
OpenClaw Agents: 3 Viral Use Case Ideas Powered by Cognee
Discover 3 OpenClaw use case ideas and how Cognee brings deeper memory, connected context, and smarter recall. Explore the next step for AI agents—read now.
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