From Data to Knowledge Graphs: Building Self-Improving AI Memory Systems

Managing AI memory is harder than it sounds. RAG pipelines fail almost 40% of the time, making them unfit for production systems. Cognee set out to fix that by introducing a memory-first architecture powered by knowledge graphs.


What’s in the Webinar?

• Why RAG alone fails nearly 40% of the time.
• How knowledge graphs, ontologies, and pipelines create persistent AI memory.
• Live demo: ingesting data, building graphs, and querying knowledge.
• Lessons from early iterations and what it took to reach production readiness.

What You’ll Learn

• Why reliability matters and how Cognee raised accuracy closer to 90%.
• How to combine graphs and embeddings for stronger context recall.
• Practical design choices for building AI memory systems.
• Where Cognee is headed next, including SDKs and scaling goals.