Explore Developer Center's New Chatbot! MongoDB AI Chatbot can be accessed at the top of your navigation to answer all your MongoDB questions.

Learn why MongoDB was selected as a leader in the 2024 Gartner® Magic Quadrant™
MongoDB Developer
Python
plus
Sign in to follow topics
MongoDB Developer Center
chevron-right
Developer Topics
chevron-right
Languages
chevron-right
Python
chevron-right

Building AI Services with FastAPI & Bedrock

58 min • Published Aug 15, 2024
AWSFastApiIndexesPython
Facebook Icontwitter iconlinkedin icon
Rate this video
star-empty
star-empty
star-empty
star-empty
star-empty
✅ MongoDB Atlas account → https://mdb.link/KL8CAm6Eoks-register ✅ Get help on our Community Forums → https://mdb.link/KL8CAm6Eoks-forums ✅ Writen article → https://mdb.link/KL8CAm6Eoks-article - We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications.All MongoDB Videos

Facebook Icontwitter iconlinkedin icon
Rate this video
star-empty
star-empty
star-empty
star-empty
star-empty
Related
Tutorial

Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models


Sep 18, 2024 | 10 min read
Tutorial

Plans and Hardware Selection for a Hands-on Implementation of IoT with MCUs and MongoDB


Aug 28, 2024 | 11 min read
Tutorial

Building a Knowledge Base and Visualization Graphs for RAG With MongoDB


Sep 02, 2024 | 12 min read
Tutorial

​​Reinventing Multi-modal Search With MongoDB and Anyscale


Sep 18, 2024 | 20 min read