Daniel Davis of TrustGraph and Kirk Marple from Graphlit discuss the 2024 state of RAG. Whether it's RAG, GraphRAG, or HybridRAG, a lot has changed since the term has become ubiquitous in AI. Where are we, where are we going, and where should be going are all answered in this discussion.

00:00
00:20 Introductions
04:10 The Term "RAG" Itself
06:20 Long Context Windows
08:10 Claude 3.5 Haiku
11:20 LLM Pricing Variance
14:11 What Happened to Claude 3 Opus?
19:03 AI Maturity
23:22 What is AGI?
26:40 Entity Extraction with LLMs
32:18 RDF? Cypher? Something else?
36:36 Why so many new GraphDBs and VectorDBs?
42:23 Reinventing the Wheel
42:48 "You Don't Need LangChain"
44:20 How to Promote Emerging Projects
46:53 "Hype Matters"
49:15 Where is RAG 1 Year from Now
54:09 Should AI Model Itself on Human Cognition?
58:45 The DARPA MUC AI Conferences

🔗 Graphlit Links:
➡️ Website: https://graphlit.com

🔗 Kirk's Links:
➡️ Twitter: https://x.com/kirkmarple

🔗 Daniel's Links:
➡️ Twitter: https://x.com/trustspooky

🔗 TrustGraph Links:
➡️ GitHub: https://github.com/trustgraph-ai/trustgraph
➡️ TrustGraph Config UI: https://config-ui.demo.trustgraph.ai/
➡️ Website: https://trustgraph.ai/
➡️ Discord: https://discord.gg/sQMwkRz5GX
➡️ Blog: https://blog.trustgraph.ai
➡️ LinkedIn: https://www.linkedin.com/company/trustgraph/