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Build Agentic RAG Applications with MongoDB and LlamaIndex
Questions can only be asked through the Zoom Webinar, sign up here → https://trymongodb.com/3CRjXoK Try MongoDB 8.0 → https://trymongodb.com/3Zi8bLL Sign-up for a free cluster → https://trymongodb.com/3Vkv4x7 Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Join us December 5, 2024 at 12 p.m. ET when Anaiya Raisinghani, Developer Advocate at MongoDB, and Laurie Voss, VP of Developer Relations at LlamaIndex, will explore the deep integration between MongoDB Atlas and LLamaIndex and provide valuable insights that will help you: Progress from basic to advanced retrieval. Optimize for relevance using hybrid search. Build Agentic RAG apps using MongoDB and LlamaIndex. Visit Mongodb.com → https://trymongodb.com/3B5stAb Read the MongoDB Blog → https://trymongodb.com/4fOo97o Check out the MongoDB Developer Center → https://trymongodb.com/3B5sHr1
Dec 06, 2024
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Using Golang for AI
✅ Try MongoDB 8.0 → https://mdb.link/d_EE60T36ws-8.0 ✅ Sign-up for a free cluster → https://mdb.link/d_EE60T36ws-free ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - Writing a back end to find celebrity matches - Try the app [here] - https://mongodb-celeb-search.com/ Find more interesting content [here] - https://mdb.link/d_EE60T36ws-more
Dec 05, 2024
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❓PostgreSQL vs. MongoDB for GenAI
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.
Dec 04, 2024
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PostgreSQL vs. MongoDB: Which Is Better for GenAI?
✅ Github - https://mdb.link/_zg90Rb9S2M - Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads. In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.
Dec 04, 2024
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Insights on Vector Search and Quantization for Developers and AI Enthusiasts
✅ Try MongoDB 8.0 → https://mdb.link/Nu70pFr88Cc-8.0 ✅ Sign-up for a free cluster → https://mdb.link/Nu70pFr88Cc-try - In this episode of the MongoDB Podcast, we dive deep into the exciting advancements in vector search technology. Join us as we discuss the recent launch of quantization capabilities and how they can significantly reduce costs while enhancing performance. Discover the implications for developers and customers alike, and learn about the future of AI integration within MongoDB. Whether you're a seasoned developer or just starting out, this episode is packed with valuable insights to help you leverage the benefits of vector search in your applications.
Dec 02, 2024
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Stream Processing Simplified: Joe Niemiec on MongoDB's Latest Innovations
✅ Try MongoDB 8.0 → https://mdb.link/d8v2z6gP6mA-8.0 ✅ Sign-up for a free cluster → https://mdb.link/d8v2z6gP6mA-try - Join us for an insightful conversation with Joe Niemiec, Senior Product Manager for Streaming at MongoDB, recorded live at MongoDB Local London. In this video, Joe explains the fundamentals of stream processing and how it empowers developers to run continuous aggregation queries on real-time data. Discover practical use cases that showcase the power of stream processing in various industries. Joe also discusses the latest enhancements, such as expanded regional support, VPC peering for secure connections, and improved Kafka integration.
Nov 29, 2024
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Thank you, Developers!
Read about MongoDB's highlights for 2024 here! https://trymongodb.com/41KuGvE As the year winds to a close, and we look back at all the days, weeks, and months of hard work, we at MongoDB want to thank you, developers, for all that you’ve done to make 2024 special.
Nov 28, 2024
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Integrating DeepLearning4j + MongoDB
DeepLearning4j (DL4J) is an open-source, distributed deep learning library written for the Java and JVM ecosystem. It is designed to create, train, and deploy deep learning models across various domains, including computer vision, natural language processing (NLP), and more. DeepLearning4j supports multiple types of neural networks, such as convolutional networks (CNNs), recurrent networks (RNNs), and fully connected networks, and is optimized for running on both CPUs and GPUs. This will be a simple app to allow you to upload a model, and query against embeddings stored in MongoDB - ✅ Try MongoDB 8.0 → https://www.mongodb.com/products/updates/version-release ✅ Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register ✅ Written tutorial - https://www.mongodb.com/developer/languages/java/ai-powered-playlist-generator/ ✅ GitHub repository → https://github.com/mongodb-developer/DeepMongoDB - 📚 GloVe: Global Vectors for Word Representation - https://nlp.stanford.edu/projects/glove/ 📚 Kaggle: Genius Song Lyrics - https://www.kaggle.com/datasets/carlosgdcj/genius-song-lyrics-with-language-information 📚 Deeplearning4j - https://deeplearning4j.konduit.ai/
Nov 27, 2024
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App Modernization Made Easy: Sanjay on MongoDB's Relational Migration Tool
✅ Try MongoDB 8.0 → https://mdb.link/c_2F4IoDoHw0-8.0 ✅ Sign-up for a free cluster → https://mdb.link/c_2F4IoDoHw-free ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - In this insightful discussion, Sanjay, a Services Delivery Enablement Engineer at MongoDB, shares the exciting features of the Relational Migration tool, designed to simplify app modernization for developers. Recorded live at MongoDB Local London, Sanjay explains how this powerful tool helps users transition from relational databases to MongoDB by analyzing existing schemas and generating optimized MongoDB structures. Learn about the iterative process of migration, the importance of understanding document models, and how AI-powered features streamline the conversion of queries and stored procedures. With real-world examples, discover how Relational Migration is breaking down barriers and accelerating the migration process for organizations. Don't miss this opportunity to enhance your understanding of app modernization with MongoDB!
Nov 25, 2024
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What is an AI Agent? Agentic RAG and RAG-enabled Chatbots
An AI agent is an artificial computational entity aware of its environment. It’s equipped with faculties that enable perception through input, action through tool use, and cognitive abilities through foundation models backed by long- and short-term memory.
Nov 22, 2024