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Contenido proporcionado por Brian Jenney. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Brian Jenney o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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#277 - RAG: The Only AI Skill Web Devs Need to Learn in 2026

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Manage episode 511365243 series 3399111
Contenido proporcionado por Brian Jenney. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Brian Jenney o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

I thought Ben was a troll when he slid into my DMs after a LinkedIn argument. Turns out, he’s building some of the most practical AI systems I’ve seen. In this episode, we talk about how that disagreement turned into a friendship—and why Retrieval-Augmented Generation (RAG) might be the skill every developer needs in 2026.

Connect with Ben here

Check out Lobi Software here

Finally - if you want to go deeper with RAG, I have a tutorial I made just for you: https://parsity.io/ai-with-rag

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Capíttulos

1. Meet Ben Johnson and the RAG Agenda (00:00:00)

2. From Audio and Film to Software (00:03:16)

3. Bootcamps, Mentors, and Learning Obsession (00:06:20)

4. Why RAG Clicks for Enterprises (00:10:05)

5. Healthcare Use Case and Beyond (00:13:12)

6. Naive RAG vs Enterprise RAG (00:16:20)

7. RAG Zero-to-One: Embeddings and Vectors (00:19:30)

8. Real-World Example: Influencer Discovery (00:23:20)

9. Tech Stack Choices and Vector Databases (00:26:30)

10. Lowering the Learning Curve and Build vs Buy (00:30:00)

11. Selling AI: From Problem to Proof (00:33:10)

303 episodios

Artwork
iconCompartir
 
Manage episode 511365243 series 3399111
Contenido proporcionado por Brian Jenney. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Brian Jenney o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

I thought Ben was a troll when he slid into my DMs after a LinkedIn argument. Turns out, he’s building some of the most practical AI systems I’ve seen. In this episode, we talk about how that disagreement turned into a friendship—and why Retrieval-Augmented Generation (RAG) might be the skill every developer needs in 2026.

Connect with Ben here

Check out Lobi Software here

Finally - if you want to go deeper with RAG, I have a tutorial I made just for you: https://parsity.io/ai-with-rag

Send us a text

Shameless Plugs

Free 5 day email course to go from HTML to AI

Got a question you want answered on the pod? Drop it here

Apply for 1 of 12 spots at Parsity - Learn to build complex software, work with LLMs and launch your career.

AI Bootcamp (NEW) - for software developers who want to be the expert on their team when it comes to integrating AI into web applications.

  continue reading

Capíttulos

1. Meet Ben Johnson and the RAG Agenda (00:00:00)

2. From Audio and Film to Software (00:03:16)

3. Bootcamps, Mentors, and Learning Obsession (00:06:20)

4. Why RAG Clicks for Enterprises (00:10:05)

5. Healthcare Use Case and Beyond (00:13:12)

6. Naive RAG vs Enterprise RAG (00:16:20)

7. RAG Zero-to-One: Embeddings and Vectors (00:19:30)

8. Real-World Example: Influencer Discovery (00:23:20)

9. Tech Stack Choices and Vector Databases (00:26:30)

10. Lowering the Learning Curve and Build vs Buy (00:30:00)

11. Selling AI: From Problem to Proof (00:33:10)

303 episodios

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