Cognee v1 is coming soon.

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

Latest

All postsNewsFundamentalsCase studiesDeep divesTutorialsIntegrations
Featured image
Deep DivesAug 1, 2024

Going beyond Langchain + Weaviate and towards a production ready modern data platform

In 2023, 7,000 AI projects launched, fueled by model advances and collaboration. Yet, many remain basic, highlighting the need for a unified LLM platform.
previous
1...9101112
next

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.
Get started

Cognee is the fastest way to start building reliable Al agent memory.

Cognee Cloud