Fundamentals
Get clear insights into essential AI and data concepts with our Fundamentals blog series, from the basics of data types to LLMs, cognitive science, and modern AI systems. Perfect for building a strong foundation in modern AI technologies, whether you are a beginner or looking to solidify your understanding.
Latest
Latest
OpenAI’s GPT‑5 has arrived – What does it mean for AI memory?
GPT-5 is here, bringing major advances in AI memory and context engineering. Explore confirmed features, real-world limits, and what it means for workflows.
From Clever Prompts to AI Mastery: The Era of Context Engineering
Master context engineering and AI memory to craft personalized LLM outputs, reduce token costs, and future-proof your AI agents—read the full guide now!
Vector Databases Explained: A Smarter Way to Search by Meaning
Learn vector databases, how vector stores like Pinecone power semantic search and AI applications by indexing embeddings. Maximize their benefits with cognee now!
Graph Databases Explained: A Better Way to Represent Connections
Discover how graph databases like Neo4j build knowledge graphs, fight fraud & boost recommendations. Master nodes & edges with cognee and supercharge your data!
What Do Most People Get Wrong About Knowledge Graphs?
Explore top knowledge graph mistakes and how to fix them. Learn about semantic relationships, graph enrichment, and AI memory. Begin your smarter data journey!
Cognitive Architectures for Language Agents: Explained
Discover how cognitive architectures enhancing LLM memory and adaptive decision-making for Agents. Learn CoALA framework for context-aware, high-performing AI today!
Structured vs Unstructured Data - Types, Differences, Examples
Explore the key differences between structured and unstructured data, their applications, and best practices. Learn more about data types in modern analytics.
OpenAI’s GPT‑5 has arrived – What does it mean for AI memory?
GPT-5 is here, bringing major advances in AI memory and context engineering. Explore confirmed features, real-world limits, and what it means for workflows.
From Clever Prompts to AI Mastery: The Era of Context Engineering
Master context engineering and AI memory to craft personalized LLM outputs, reduce token costs, and future-proof your AI agents—read the full guide now!
Vector Databases Explained: A Smarter Way to Search by Meaning
Learn vector databases, how vector stores like Pinecone power semantic search and AI applications by indexing embeddings. Maximize their benefits with cognee now!
Graph Databases Explained: A Better Way to Represent Connections
Discover how graph databases like Neo4j build knowledge graphs, fight fraud & boost recommendations. Master nodes & edges with cognee and supercharge your data!
What Do Most People Get Wrong About Knowledge Graphs?
Explore top knowledge graph mistakes and how to fix them. Learn about semantic relationships, graph enrichment, and AI memory. Begin your smarter data journey!
Cognitive Architectures for Language Agents: Explained
Discover how cognitive architectures enhancing LLM memory and adaptive decision-making for Agents. Learn CoALA framework for context-aware, high-performing AI today!
Structured vs Unstructured Data - Types, Differences, Examples
Explore the key differences between structured and unstructured data, their applications, and best practices. Learn more about data types in modern analytics.
Keenable × cognee: Giving Web Retrieval Persistent Memory
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
