Published Oct 24, 2024
Vector Database founder: The problem with RAG terminology I Jeff Huber from Chroma
Jeff Huber, founder of Chroma, delves into the transformative role of vector databases in AI, dissecting the buzz around RAG terminology while exploring embedding models, dynamic AI interactions, and pragmatic perspectives on AI's future with host Raza Habib.

Topics covered
Popular Clips
Questions from this episode
- Asked by 196 people
- Asked by 152 people
- Asked by 124 people
- Asked by 96 people
- Asked by 75 people
- Asked by 75 people
- Asked by 73 people
- Asked by 69 people
- Asked by 62 people
- Asked by 57 people
- Asked by 56 people
- Asked by 52 people
Episode Highlights
Related Episodes


AI's Memory Upgrade: Max Rumpf on how to build advanced RAG systems
Answers 383 questions

What gives an AI founder staying power
Answers 383 questions

Building the first LLM-based search engine for developers with Michael Royzen
Answers 383 questions

Pioneering the Next Era of AI Customer Support with Jesse Zhang from Decagon
Answers 383 questions

How Replicate is Democratizing AI with Open-Source Resources
Answers 383 questions

Building the most popular OSS coding assistant with Beyang Liu CTO of @Sourcegraph
Answers 383 questions

Lessons from Hex's Journey building AI Agents for Data Science
Answers 383 questions

Creating an AI Workforce for Fortune 1000 Companies
Answers 383 questions

Building AI Products at Scale: Lessons from Zapier's CEO
Answers 383 questions

How Paras Jain is building the future of AI Video creation
Answers 383 questions

How to build great AI products with Vanta Software Developer Noam Rubin
Answers 383 questions

How AI is Changing Product Management I Raz Nussbaum (Gong AI)
Answers 383 questions













