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AI Knowledge Base: Building a Retrieval-Ready Knowledge Layer
An AI knowledge base needs more than stored documents. Source context, entity relationships, and plural retrieval strategies are what turn stored data into reliable, agent-ready knowledge.
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.
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.
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.
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.
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.
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.
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.
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.
AI Knowledge Base: Building a Retrieval-Ready Knowledge Layer
An AI knowledge base needs more than stored documents. Source context, entity relationships, and plural retrieval strategies are what turn stored data into reliable, agent-ready knowledge.
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.
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.
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.
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.
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.
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.
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.
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.
cognee 1.0: The Open-Source Memory Platform for AI Agents
Claude Code's Leak Reveals Anthropic's Obsession with Cognee
Cognee Raises $7.5M Seed to Build Memory for AI Agents
Anthropic API Cost in 2026: Claude Pricing and Calculator
Grok Pricing in 2026: API Costs and Calculator
Top AI Podcasts for Engineers: 10 Shows Worth Your Time in 2026
Elevating AI-Driven Credit Card Insights: A Tier-1 US Bank's Semantic AI Memory Discovery
Turning PDFs into Evidence-Based Answers: How We Built a Trustworthy Evidence Graph for UWYO
Smart Networks, Smarter Students: How cognee Connected 40,000 German Learners
Local AI Memory: Keeping Agent Memory Off the Cloud
AI Memory Tools vs. Databases: 5 Memory Layers Compared (2026)
How to Evaluate AI Memory in 2026: 5 Tools Compared
Why AI Agents Forget and How to Fix Their Memory
Give Claude Code Persistent Memory With cognee
Structure Your Skills with Cognee
Keenable × cognee: Giving Web Retrieval Persistent Memory
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
