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Ep. 190 Building the MongoDB Docs AI Chatbot
Manage episode 384657089 series 2637189
Content provided by MongoDB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MongoDB 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://player.fm/legal.
In this episode of the MongoDB Podcast, join Michael Lynn as he explores the intersection of artificial intelligence and database documentation with Ben Perlmutter, Senior Education Engineer at MongoDB. Dive into the intricacies of integrating AI into MongoDB's documentation process, where Ben unveils the development of a state-of-the-art Retrieval Augmented Generation (RAG) based AI chatbot. This innovative tool is designed to revolutionize the way developers engage with MongoDB documentation, offering a more intuitive and efficient user experience.
Ben shares his unique insights and experiences, from the chatbot's inception during an internal hackathon to the challenges and triumphs encountered along the way. Discover how the team leveraged MongoDB's Atlas Vector Search and other advanced technologies to enhance documentation accessibility and user interaction. More information at https://mdb.link/chatbot
229 episodes
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Manage episode 384657089 series 2637189
Content provided by MongoDB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MongoDB 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://player.fm/legal.
In this episode of the MongoDB Podcast, join Michael Lynn as he explores the intersection of artificial intelligence and database documentation with Ben Perlmutter, Senior Education Engineer at MongoDB. Dive into the intricacies of integrating AI into MongoDB's documentation process, where Ben unveils the development of a state-of-the-art Retrieval Augmented Generation (RAG) based AI chatbot. This innovative tool is designed to revolutionize the way developers engage with MongoDB documentation, offering a more intuitive and efficient user experience.
Ben shares his unique insights and experiences, from the chatbot's inception during an internal hackathon to the challenges and triumphs encountered along the way. Discover how the team leveraged MongoDB's Atlas Vector Search and other advanced technologies to enhance documentation accessibility and user interaction. More information at https://mdb.link/chatbot
229 episodes
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Similar to The MongoDB Podcast
BBC Radio 5 live’s award winning gaming podcast, discussing the world of video games and games culture.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
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…
continue reading
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
…
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