Category: Knowledge Layer

Knowledge Graphs and Vector Search: Complementary, Not Competitive

The framing of knowledge graphs versus vector databases as competing technologies is a symptom of hype cycles that simplify complex architectural decisions for public discourse. Practitioners argue ab

Case Study: Building a Production AI Knowledge Layer for Financial Services

A regional bank's investment research team spent 60% of their time gathering information and 40% doing analysis. Analysts had to search through regulatory filings, internal research memos, market data

Designing the Enterprise Knowledge Layer: Beyond RAG

Most teams implement retrieval-augmented generation and call it a knowledge layer. Give the model access to a vector database, stuff in some documents, and ship. This approach works for demos. It fall