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Content provided by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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The AI technology that eliminates knowledge bottlenecks

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Manage episode 498256503 series 3615687
Content provided by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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We've all dreamed of it: feeding our AI all our business knowledge and just asking questions. It felt like science fiction—until now. RAG databases are the breakthrough technology that finally makes institutional knowledge accessible to your entire team in seconds.

In this episode, Micah and Beau dive deep into Retrieval Augmented Generation—and yes, they acknowledge it's probably the worst-named technology ever invented. But beneath that terrible acronym lies the solution to one of business's most persistent problems: knowledge bottlenecks.

Here's what makes RAG different: instead of training new team members for months, they can access every solution you've ever created by week two. Instead of your sales team saying "let me get back to you" on technical questions, they have instant answers. Instead of routing every complex question to the same three senior people, anyone on your team can query your entire knowledge base.

RAG works by taking your existing documents—from Google Drive, SharePoint, or any cloud storage—and making them instantly searchable through AI. The technology breaks down your content into searchable chunks, creates relationships between information, and serves up exactly what your team needs when they need it.

In this episode, you'll hear:

  • Why RAG databases are the missing piece in most business AI strategies
  • How to sync your existing cloud storage directly to an AI-friendly database
  • Real examples of eliminating knowledge bottlenecks in customer service, sales, and training
  • The step-by-step setup process for implementing RAG in your business
  • Why this technology changes everything about team onboarding and productivity

This isn't just another AI trend—it's the technology that transforms how your team accesses and uses company knowledge. If you've ever felt like critical information is locked in someone's head, this episode is your roadmap to freedom.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.
Want more valuable content and helpful tips?

Explore our Courses/Programs:

Enjoy our Free Tools:

Connect with Us:

  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 498256503 series 3615687
Content provided by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alane Boyd & Micah Johnson, Alane Boyd, and Micah Johnson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

We've all dreamed of it: feeding our AI all our business knowledge and just asking questions. It felt like science fiction—until now. RAG databases are the breakthrough technology that finally makes institutional knowledge accessible to your entire team in seconds.

In this episode, Micah and Beau dive deep into Retrieval Augmented Generation—and yes, they acknowledge it's probably the worst-named technology ever invented. But beneath that terrible acronym lies the solution to one of business's most persistent problems: knowledge bottlenecks.

Here's what makes RAG different: instead of training new team members for months, they can access every solution you've ever created by week two. Instead of your sales team saying "let me get back to you" on technical questions, they have instant answers. Instead of routing every complex question to the same three senior people, anyone on your team can query your entire knowledge base.

RAG works by taking your existing documents—from Google Drive, SharePoint, or any cloud storage—and making them instantly searchable through AI. The technology breaks down your content into searchable chunks, creates relationships between information, and serves up exactly what your team needs when they need it.

In this episode, you'll hear:

  • Why RAG databases are the missing piece in most business AI strategies
  • How to sync your existing cloud storage directly to an AI-friendly database
  • Real examples of eliminating knowledge bottlenecks in customer service, sales, and training
  • The step-by-step setup process for implementing RAG in your business
  • Why this technology changes everything about team onboarding and productivity

This isn't just another AI trend—it's the technology that transforms how your team accesses and uses company knowledge. If you've ever felt like critical information is locked in someone's head, this episode is your roadmap to freedom.

Disclosure: Some of the links above are affiliate links. This means that at no additional cost to you, we may earn a commission if you click through and make a purchase. Thank you for supporting the podcast!

For more information, visit our website at biggestgoal.ai.
Want more valuable content and helpful tips?

Explore our Courses/Programs:

Enjoy our Free Tools:

Connect with Us:

  continue reading

62 episodes

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