Topic
Cognee
2 episodes
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How to Implement a Unified Memory From Scratch
Jessica and Cathy dig into a new post that walks through building a unified agent memory from scratch using knowledge graphs and MongoDB, unpacking what it actually takes to wire memory into a real agent harness. They tease apart where the post’s blueprint shines, where it overreaches, and who on earth should actually roll their own instead of reaching for an off-the-shelf tool.
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Architectural patterns for graph enhanced RAG: Moving beyond vector search in production
Justy and Cody dig into graph-enhanced RAG, where vector search gets structural backbone from graph databases to handle multi-hop reasoning in interconnected enterprise data. They explore the hybrid retrieval pattern, debate whether ingestion-time entity extraction holds up in practice, and question who actually needs this complexity.