Harness the power of MongoDB Atlas and Amazon Web Service’s (AWS) to build sophisticated, enterprise-ready intelligent applications. Integrate AWS with the versatility of a document model and native Vector Search to ensure scalability, and security.
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Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock
✅ Sign-up for a free cluster at → https://mdb.link/LbjD4UMw2JQ-register ✅ Get help on our Community Forums → https://mdb.link/LbjD4UMw2JQ-forums - MongoDB Atlas and Amazon Bedrock together offer a seamless and secure way to bring real-time data to gen AI applications and help startups move from ideation to scale. In this session, we’ll give a brief overview of the MongoDB Atlas and Amazon Bedrock joint solution which gives startups who want to easily build applications with generative AI an “easy button” for implementing RAG with Atlas Vector Search. Our local experts will also answer questions. Users can walk away expecting to know the basics of how to build applications that: Leverage unstructured data for valuable insights Deliver personalized, gen AI-powered experiences Provide intelligent, context-aware search and recommendation features Join MongoDB for Startups and AWS Activate for access to free credits, technical guidance, and more.Jul 19, 2024 | 76 min
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How to Deploy MongoDB Atlas with AWS CloudFormation
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AWS and Generative AI - Services, Deployments and RAG with Bedrock
✅ Register for Atlas - https://mdb.link/xgqrVhUoey4-register ✅ Vector Search - https://mdb.link/xgqrVhUoey4-vector - In this episode, Shane Mc Allister is joined by David Min and Rustem Feyzkhanov to explore a range of approaches for deploying pretrained LLM models to AWS cloud using SageMaker JumpStart, SageMaker SDK and AWS Copilot. In addition, we'll showcase how to leverage Retrieval Augmented Generation (RAG) with MongoDB Atlas, Vector Search, and Amazon Bedrock. To bring these concepts to life, we'll swiftly showcase demos illustrating the deployment process for a generative AI model using SageMaker JumpStart and AWS Copilot and how to enable natural language queries to extract more value and insights from your data.Mar 19, 2024
Tutorial
Integrate Atlas Application Services Logs into Datadog on AWS
With the Log Forwarding feature, it's now possible to send Atlas Application Services logs to Datadog. This blog outlines the configuration steps necessary as well as strategies for customizing the view to suit the need.
Mar 13, 2024
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Article
Audio Find - Atlas Vector Search for Audio
This in-depth article explores the innovative creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding. Discover how sound embeddings are generated using the Panns-inference model via S3 hosted files, and how similar songs are identified, creating a dynamic and personalized audio discovery experience.Mar 08, 2024
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