Rag Architecture

4 articles

Intermediate

intermediate

Your RAG Pipeline Isn't Hallucinating. Your Data Layer Is.

Most broken RAG deployments are not model failures. They are upstream failures the model is forced to ventriloquize. The fix is a data pipeline that does the judgment work before retrieval — staleness gates, canonical resolution, business rules as first-class content.

Sep 12, 20258 min

Advanced

advanced

Data

Your Agent Inherits Every Permission Mistake Your Org Made in the Last Decade

RBAC was built for humans clicking pages. Agents fire hundreds of retrievals per session across permission domains the role-to-resource map never reconciled. The fix lives in the pipeline, not the prompt: pre-retrieval filters, delegated identity, RLS, audit trails that outlive ACL changes.

Sep 24, 20258 min

Data · Featured

Your Agent Doesn't Need a Better Model. It Needs a Memory Layer.

Most enterprise AI failures are not model failures. They are retrieval failures. Chunking, embeddings, vector stores, knowledge graphs, and the context budget — what actually breaks at scale and how to build the memory layer that holds.

Sep 28, 20258 min

Data

Your RAG Pipeline Ends at a 1985 DB2 Schema. Here Are the Seven Bridges.

Seven patterns for moving DB2, IMS, and VSAM data into RAG: nightly EBCDIC export, CDC, federation, event sourcing, dual-write, schema-on-read, and RAG over the COBOL itself. Pick by freshness budget, not preference.

Oct 18, 202512 min