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.
Latest
Latest
FundamentalsJun 12, 2026
What Is a Knowledge Base? (and Why Most of Them Stop Working)
A knowledge base is a centralized system for storing reusable information — but most fail because of ownership gaps, drift, and no clear sense of what actually belongs in them.
FundamentalsJun 11, 2026
LLM vs Generative AI: Comparing Models, Memory, and Architecture
Generative AI and LLMs are not the same thing. Learn the real difference, why architecture matters more than model size, and what memory and retrieval actually do.
FundamentalsJun 11, 2026
Best Vector Database: Choosing for Search, RAG, and AI Memory
There's no single best vector database — the right choice depends on your retrieval workload, deployment model, and whether you need search, RAG, or full AI memory.
IntegrationsJun 1, 2026
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.
FundamentalsMay 31, 2026
Long Term Memory AI: Why Your Agent Keeps Forgetting
Long term memory AI is more than chat history or larger context windows. Learn what agents should keep, retrieve, update, and forget.
Deep DivesMay 6, 2026
Separate memories for organization, agent and user: Support AI Agent Use-Case
Most support teams don't have a support problem — they have a context problem. Here's how we built a support agent on top of cognee using user, agent, and organization memory.
Deep DivesApr 28, 2026
Memory as a Decorator
Adding memory to agentic workflows used to mean restructuring your stack. One decorator changes that. We ran 198 simulated sales conversations — and the results make a strong case for structured memory.
Deep DivesApr 21, 2026
Cognee's CLI Replaces MCP OAuth in 100 Lines
MCP has real auth built in. CLI doesn't — or so the claim goes. The Claude Code plugin that wraps cognee-cli runs a full register-login-token handshake before the first command fires.
Deep DivesApr 14, 2026
Agents Don't Need Another Protocol. They Need a Good CLI.
Your agent forgets everything between sessions. The fix isn't a bigger context window — it's persistent memory via a CLI. Four commands give your agent cross-session, graph-structured memory.FundamentalsJun 12, 2026
What Is a Knowledge Base? (and Why Most of Them Stop Working)
A knowledge base is a centralized system for storing reusable information — but most fail because of ownership gaps, drift, and no clear sense of what actually belongs in them.FundamentalsJun 11, 2026
LLM vs Generative AI: Comparing Models, Memory, and Architecture
Generative AI and LLMs are not the same thing. Learn the real difference, why architecture matters more than model size, and what memory and retrieval actually do.FundamentalsJun 11, 2026
Best Vector Database: Choosing for Search, RAG, and AI Memory
There's no single best vector database — the right choice depends on your retrieval workload, deployment model, and whether you need search, RAG, or full AI memory.IntegrationsJun 1, 2026
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.FundamentalsMay 31, 2026
Long Term Memory AI: Why Your Agent Keeps Forgetting
Long term memory AI is more than chat history or larger context windows. Learn what agents should keep, retrieve, update, and forget.Deep DivesMay 6, 2026
Separate memories for organization, agent and user: Support AI Agent Use-Case
Most support teams don't have a support problem — they have a context problem. Here's how we built a support agent on top of cognee using user, agent, and organization memory.Deep DivesApr 28, 2026
Memory as a Decorator
Adding memory to agentic workflows used to mean restructuring your stack. One decorator changes that. We ran 198 simulated sales conversations — and the results make a strong case for structured memory.Deep DivesApr 21, 2026
Cognee's CLI Replaces MCP OAuth in 100 Lines
MCP has real auth built in. CLI doesn't — or so the claim goes. The Claude Code plugin that wraps cognee-cli runs a full register-login-token handshake before the first command fires.Deep DivesApr 14, 2026
Agents Don't Need Another Protocol. They Need a Good CLI.
Your agent forgets everything between sessions. The fix isn't a bigger context window — it's persistent memory via a CLI. Four commands give your agent cross-session, graph-structured memory.IntegrationsJun 1, 2026
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
IntegrationsMar 10, 2026
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
IntegrationsMar 6, 2026
OpenClaw Agents: 3 Viral Use Case Ideas Powered by Cognee
IntegrationsJun 1, 2026
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
IntegrationsMar 10, 2026
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
IntegrationsMar 6, 2026