LangChain Expert Backs Entity Graphs Over Vector Stacks Despite Faster Graph DBs

At an Austin LangChain meetup, James Coffey admitted that graph databases like Neo4j and TigerGraph have become much faster, yet he still argued that entity graphs outperform pure embedding stacks in RAG, sparking discussion among attendees.

2026-10-14 ~ 2026-10-14 · 2 related posts

• Austin LangChain talk: Neo4j and TigerGraph are far faster now, but entity graphs still beat embedding piles — colinmcnamara · 2026-10-14

1 near-duplicate retellings: colinmcnamara