The Cognee Blog

AI memory gets smarter with real user feedback; auto-optimizing knowledge graphs boost search relevance and reduce manual tuning. See how it works and try it now!

Memify is a modular pipeline that keeps your knowledge graph evolving and speeds vector database updates for relevance and speed. Explore docs, join the beta now!

cognee August updates: Amazon Neptune integration, n8n for Cognee Cloud, community adapters, time-aware and self-improving graph, graph embeddings, and more!

Explore how AI memory evolves from base LLM to Graph-aware RAG using Cognee’s open-source memory engine. Learn the transformation—read now on cognee!

Learn how graph-based AI memory links concepts for smarter retrieval in Cognee. Watch our demo and start building AI that truly remembers and connects ideas.

Learn how to build production-ready graph-native RAG systems using cognee and Amazon Neptune Analytics. Store embeddings on graph nodes and query with openCypher for semantic recall and multi-hop traversal in a single managed service.

Discover more about what's new at AWS with Amazon Neptune now integrates with Cognee for graph-native memory in GenAI Applications.

Implement span-level LLM observability in semantic workflows using cognee + Keywords AI. Trace every step, debug faster, and optimize pipelines today.

cognee July updates: Launched Cognee Cloud, distributed processing, enhanced authentication, improved stability, case studies across construction, education, more!