A step-by-step guide to building a privacy-preserving GraphRAG platform combining Neo4j Enterprise with Edgeless Privatemode confidential computing. The architecture ensures prompts and embeddings are encrypted end-to-end using AMD SEV-SNP and NVIDIA Confidential Computing hardware, so even the AI service provider cannot access

22m read timeFrom medium.com
Post cover image
Table of contents
Let’s understand what each brings to the table.Neo4j Graph Intelligence Platform — The Secure Knowledge FoundationGet Luzidl’s stories in your inbox

Sort: