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MongoDB
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Добавлен 1 май 2010
MongoDB is the developer data platform that provides the services and tools necessary to build distributed applications fast, at the performance and scale users demand. With content for all skill levels, our channel provides users with the latest tutorials, tips and how-to videos to make the most out of MongoDB.
For more information, visit www.mongodb.com.
For more information, visit www.mongodb.com.
Love Your Developers — Build AI-powered apps with MongoDB
Learn how MongoDB makes building AI apps easier and faster by unifying operational and vector data on a single platform: trymongodb.com/3RgtytM
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Subscribe to MongoDB RUclips→ mdb.link/subscribe
Просмотров: 6
Видео
Love Your Developers - Deliver advanced apps with MongoDB
Просмотров 3Час назад
Learn how MongoDB’s industry-leading platform, large AI ecosystem, and multi-cloud flexibility make it easy for developers to build modern apps: trymongodb.com/45jfhCs Subscribe to MongoDB RUclips→ mdb.link/subscribe
MongoDB.local Jakarta
Просмотров 437 часов назад
Join us at MongoDB.local Jakarta on Tuesday, 13 August 2024 for a day filled with educational breakout sessions, customer stories, keynote address, hands-on lab, 1:1 Ask the Experts and more! Don’t miss this chance to connect with our experts and customers to find new ways to build with MongoDB, hear what’s coming out, and meet developers shaking up their industries. Register now - trymongodb.c...
MongoDB.local Singapore
Просмотров 197 часов назад
Join us at MongoDB.local Singapore on Thursday, 22 August 2024 for a day filled with educational breakout sessions, customer stories, keynote address, hands-on lab, 1:1 Ask the Experts and more! Don’t miss this chance to connect with our experts and customers to find new ways to build with MongoDB, hear what’s coming out, and meet developers shaking up their industries. Register now - trymongod...
MongoDB.local Kuala Lumpur
Просмотров 77 часов назад
Join us at MongoDB.local Kuala Lumpur on Thursday, 15 August 2024 for a day filled with educational breakout sessions, customer stories, keynote address, hands-on lab, 1:1 Ask the Experts and more! Don’t miss this chance to connect with our experts and customers to find new ways to build with MongoDB, hear what’s coming out, and meet developers shaking up their industries. Register now trymongo...
Fala MongoDB Ep. 15 Caso de uso ClearSale: Potencializando a Detecção de Fraudes com MongoDB Atlas
Просмотров 15416 часов назад
No episódio de hoje do Fala MongoDB, mergulhamos no caso de uso da Clearsale, uma empresa líder em soluções de prevenção a fraudes. Descubra como a Clearsale utiliza o MongoDB Atlas para aprimorar seus processos de detecção de fraudes, garantindo maior segurança e eficiência em suas operações de alto volume de dados. Conversamos com Thiago Cabral, Diretor de Tecnologia da Informação da Clearsal...
The Index: Ruby on Rails, FARM Stack Apps, & Semantic Search With OpenAI
Просмотров 24121 час назад
The Index: Ruby on Rails, FARM Stack Apps, & Semantic Search With OpenAI
Sentiment Chef Demo Walkthrough | MongoDB Atlas and Gemini
Просмотров 203День назад
Sentiment Chef Demo Walkthrough | MongoDB Atlas and Gemini
Empowering Sports Betting Innovation: A Deep Dive with Fanatics & MongoDB
Просмотров 174День назад
Empowering Sports Betting Innovation: A Deep Dive with Fanatics & MongoDB
What's New in the MongoDB Provider for EF Core?
Просмотров 27114 дней назад
What's New in the MongoDB Provider for EF Core?
MongoDB Sprout: Where Data Meets Spring
Просмотров 26114 дней назад
MongoDB Sprout: Where Data Meets Spring
Revolutionizing Retail: Enhancing Customer Experiences using AI with BigID
Просмотров 16214 дней назад
Revolutionizing Retail: Enhancing Customer Experiences using AI with BigID
Unlocking Software Development Efficiency with Unqork
Просмотров 24521 день назад
Unlocking Software Development Efficiency with Unqork
Unlocking data full potential with GenAI
Просмотров 12621 день назад
Unlocking data full potential with GenAI
The Future of Data-Driven Business with Capgemini
Просмотров 21821 день назад
The Future of Data-Driven Business with Capgemini
Fala MongoDB Ep. 14 Acelerando a sua modernização de aplicações
Просмотров 21028 дней назад
Fala MongoDB Ep. 14 Acelerando a sua modernização de aplicações
Fundamentals of Building a FARM Stack App in 5 min
Просмотров 1,2 тыс.Месяц назад
Fundamentals of Building a FARM Stack App in 5 min
Claim Management Using LLMs and Vector Search for RAG
Просмотров 564Месяц назад
Claim Management Using LLMs and Vector Search for RAG
Revamp Your Insurance Data: A MongoDB Relational Migrator Guide
Просмотров 362Месяц назад
Revamp Your Insurance Data: A MongoDB Relational Migrator Guide
The Index: RAG With Atlas Vector Search, an Intro to Go, and More
Просмотров 524Месяц назад
The Index: RAG With Atlas Vector Search, an Intro to Go, and More
MongoDB.local NYC 2024 Keynote Highlights
Просмотров 834Месяц назад
MongoDB.local NYC 2024 Keynote Highlights
Fala MongoDB Ep. 13 Soluções analíticas com MongoDB Atlas
Просмотров 89Месяц назад
Fala MongoDB Ep. 13 Soluções analíticas com MongoDB Atlas
Connection to MongoDB With Java And SOCKS5 Proxy
Просмотров 175Месяц назад
Connection to MongoDB With Java And SOCKS5 Proxy
Paychex’s Data Mosaic: How MongoDB Atlas Supports Our Internal AI Solutioning
Просмотров 325Месяц назад
Paychex’s Data Mosaic: How MongoDB Atlas Supports Our Internal AI Solutioning
Revolutionizing Fraud Detection with Atlas Vector Search
Просмотров 510Месяц назад
Revolutionizing Fraud Detection with Atlas Vector Search
What's New in MongoDB 8.0 in 6 minutes
Просмотров 418Месяц назад
What's New in MongoDB 8.0 in 6 minutes
Supercharging Credit Application with Generative AI in 6 minutes
Просмотров 201Месяц назад
Supercharging Credit Application with Generative AI in 6 minutes
Application Modernization with MongoDB Relational Migrator in 5 minutes
Просмотров 298Месяц назад
Application Modernization with MongoDB Relational Migrator in 5 minutes
Thanks a lot brother
sir I want mongodb best services for pakistan
I'm not understanding how the "vectorEmbeddings" at top level would be able to capture all the nested details? wouldn't that return the whole json as a match when querying "when was episode 1 aired?" doesn't this defeat the purpose? it's the same as pulling this whole object, converting it to string, and then feeding it as input to the LLM to me could you explain how the "vectorEmbeddings" is generated here? does it include child objects? what happens if i update description for episode 2?
Have you done the connection to Google Sheets yet?
Thank you .
thank you this was very useful
Hi, Thanks for the video I did everything I get Chatbot stream error: Internal Server Error Reload the page to start a new conversation. when I prompt a question
9 months pass and nothing works. My serverless cluster does not support triggers and also there is no search tab in my cluster.
You are correct. Currently, serverless clusters have some limitations. If you would like to test out all features you can use a free forever M0 cluster which has these features enabled. Here is a list of the current limitations on serverless clusters: www.mongodb.com/docs/atlas/reference/serverless-instance-limitations/#unsupported-actions
I dont know if i missed anything. How did the .azure folder come about ?
Directories prefixed with a "." are typically generated when you use the CLI for the first time or have a plugin installed for the particular product. Denver had already initialized the CLI for the project hence why the directory existed. There shouldn't be anything in there that was added manually, so you should be safe :)
watching from pakistan lahore
Can you create endless indexes or something that separate a lot of data sets in the db? For a chatbot service where users can create custom bots with own data. Pinecone has only a very limited index quantity. Has mongo a limit?
Our indexes are very generous and capable of complex compound field aggregation. Here is a document outlining the limitations: www.mongodb.com/docs/manual/reference/limits/#indexes
back in 2022 at around 2 - 3 am played this song in hackathon every one was fired up!
AI brought me here after 20 years of SQL datawarehousing
Thx!
nice
You are just copy pasting and reading. Please explain more briefly
🎉🎉❤
Hi I'm carl from zimbabwe
How to export/import the whole database?
You can export by collection. Here is a guide: www.mongodb.com/docs/compass/current/import-export/ Or to export the entire database you could use `mongodump` from the CLI: www.mongodb.com/docs/database-tools/mongodump/
@@MongoDB Thanks! 👌
✅ Register for Atlas → mdb.link/CCAtlas16 ✅ MongoDB on Google Cloud → mdb.link/MongodbonGoogleCloud ✅ Google Marketplace → mdb.link/GoogleMarketPlace
✅ Visit MongoDB's Retail page to learn more - trymongodb.com/43AzSRN
✅ Get started with Atlas on Google Cloud → trymongodb.com/3SDzR8p ✅ Learn more about Google Cloud and MongoDB → trymongodb.com/3I4SO1B
I'm trying to use a dynamic object like JsonObject for entity model, I'm trying to use .HasConversion( v => v.ToBsonDocument(null, null, null, default), v => BsonSerializer.Deserialize<JsonObject>(v, null)); But it's not work. Do you have any way for MongoDB.EntityFramework works with a dynamic object like BsonDocument, JsonObject, or JObject?
nice
Enhancing customer experiences using AI with BigID involves leveraging advanced data intelligence to personalize and secure interactions.
This convergence promises to invigorate data-driven applications with enhanced performance and scalability, echoing the dynamic and rejuvenating spirit of spring.
Nice
Great video!
What features of the new EF Core provider are you all most excited about? As ever, if you have any questions, don't hesitate to ask in our community forums!
Querying embedded documents does not seem to work currently. Am i missing anythign here?
@@thanasakis61 Hello, thanks for your comment. This is the perfect question for our community forums. You can find the link in the video description. Please share what version of the provider you are using on there and any code you can provide to help us repro what you did. This way lots of others can see it as well if they hit the same issue and also means more eyes to help if required.
Very good informative talk..
None of your code has comments
Too much noise
I'm running this exact code and it's throwing errors? Is it a filepathing error?
nvm I figured it out it was a pathing issue with the explorer you should explain that in the beginning
Incredibly helpful video! great job and thank you! one question though, what's the mechanism in this approach for accessing another collection within the database? in this example you've hard coded the CollectionName to be "playlist" in the appsettings.json file. what do you do to access the "movies" and "theaters" collection from your sample_mflix database?
Excellent video! Thank you.
thank you! big like!
Im still wondering why the management of MongoDb doesn't noticed efforts of tutors like "Chai Aur Code" ( hitesh chaudhary) where they're explaining the concepts at best.....please get in touch with such tutors !!
00:02 MongoDB Atlas is a fully managed cloud database. 01:52 Setting up and managing an M20 cluster in MongoDB Atlas 03:47 Managing Database Access and Connectivity 05:53 MongoDB Atlas provides various monitoring and optimization tools 07:35 MongoDB Atlas allows for easier storage and visualization of data at reduced cost 09:26 Learn how to edit and update documents in MongoDB Atlas 11:22 MongoDB Atlas offers a variety of data services. 13:12 MongoDB Atlas provides data API with CRUD operations and MongoDB Charts for data visualization. Crafted by Merlin AI.
great stuff... keep them coming :)
Thanks Apoorva, very informative and congrats for your first stream
Very very good work. Looks like Arthur is keen on this and if he is it may be something big.
Folks want to unsilo data, not scattering them further depending on format or type into these various niche vector databases. Whichever start up that likes fragmented data architecture won’t survive in the data age.
I want to host my application in a domain and i am using hostinger to host it. The question i have is the ip address which we gave in the starting of atlas, in my case which ip should i give? The next question i have is if i connect the database to my application and host it, will everyone performing any action on database work using this procedure? Please enlighten me!!!
thank you
I think the meaning of transaction is not described here? Is it editing two tables (collections) in one function? Why is it need to be emphasized that it is supported, isn't it common to be able to edit / work on multible tables?
Awesome!