Simor Consulting
Category: Knowledge Layer
Basic retrieval-augmented generation works well in demos and poorly in production. The demo shows a clean pipeline: chunk text, embed chunks, retrieve relevant chunks, feed them to the model. The prod
A global professional services firm with 8,000 consultants maintained institutional knowledge across forty-seven separate systems. Project proposals lived in a document management system. Client engag
A legal technology company had invested six months building a retrieval-augmented generation system to help contract attorneys find relevant precedent clauses across a corpus of 180,000 executed agree
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
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
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