TrustGraph

Our Agentic Future

Technology EN ↓ 6 episodes

AI is shifting the paradigm of how humans interact with software. Now, the user can "talk" directly to the software as that same software decides to do next. In this podcast series, TrustGraph explores the challenges of designing these systems, how they will impact our lives, and how they will evolve.🔗 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/compan

Be sure to visit the podcast's website and support the creator: trustgraph.ai

Author

TrustGraph

Category

Technology

Podcast website

trustgraph.ai

Latest episode

Dec 23, 2024

Where to listen?

Podcasts in the app Replaio Radio Coming soon

Podcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts

Get it on Google Play Install for free Android almost 10M downloads · 4.8 rating iOS soon

Episodes

How to ACTUALLY Win in AI - the Wooden Roller Coaster Strategy 23.12.2024

Ever wonder what it's REALLY like inside the world of tech startups? Join Daniel Davis and Brennan Woodruff, the COO of GoCharlie (a generative AI startup), for a brutally honest conversation about the realities of creating an AI startup versus the usual Silicon Valley tech hype. Brennan shares his unique journey from KPMG to Uber, then to SoftBank's Vision Fund, and finally into the world of gene...

Is Math the Language of Knowledge? 19.12.2024

knowledge graphs with linear algebra and how it will impact RAG and explainability with LLMs. Is matrix multiplication the most effective way to query knowledge? Is Cypher or GQL the future of query languages? Topics: 00:00 Intros 07:03 A different way of storing knowledge with FalkorDB 11:15 GraphBLAS 13:10 Sparse Matrices and Zeroes 17:35 Connecting linear algebra to Cypher 21:32 Semantic search...

Knowledge Graph Apalooza! 17.12.2024

The Co-founder and CTO of Memgraph, Marko Budiselić, joins us to talk all things knowledge graphs, evaluation metrics for AI, and whether or not AI can be considered AGI if it's not a cyber-physical system. Topics: 0:00:00 Intros 0:04:10 "Knowledge" vs. "Data" 0:07:15 Lateral thinking and interpretation 0:10:48 Datastores, Databases, Data Lakes, and Data Warehouses 0:13:55 "Knowledge graph" is an...

The 2024 State of AI Regulations 13.12.2024

Taking a break from data engineering and RAG, Daniel spoke with Rick Borden, an attorney from Frankfurt Kurnit Klein & Selz, on the state of AI regulations in 2024. Is it really the wild west in enterprise contracts around AI now? How do AI innovators navigate through these chaotic times? Which sci-fi book most accurately described the current state of AI? And will quantum computers make every...

The Future of Agentic Systems 20.11.2024

The founders of TrustGraph, Daniel Davis and Mark Adams, discuss their journeys with big data, knowledge graphs, and data engineering. Knowledge graphs are hard to learn - no matter what Mark says, and he gives everyone a crash course on them, why querying graphs is tricky, and what makes for reliable data services. The conversation ends with a discussion of what makes for "explainable AI" and the...

The 2024 State of RAG 20.11.2024

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 L...

Listen to the Our Agentic Future podcast in Replaio

Radio and podcasts in one app - free, with no sign-up. Install today and do not miss the launch

Get it on Google Play

Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.