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The Index: Building REST APIs, a Fleet Tracking App, and Coding With AI
Here’s what MongoDB’s Developer Relations team has been up to. ➡️ View more in our Community Forums: https://mdb.link/theindex-jan25 ⬅️ Be sure to give this video a thumbs up and subscribe to our channel, too! #MongoDB #TheIndex #Tech
Jan 24, 2025
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What is an Embedding? | MongoDB #ai #embeddingmodel
Why do so many people suddenly care about embeddings, a concept that has existed since the 1950s? Let's talk about what embeddings are and how embedding models work. Learn more on Developer Center: https://mdb.link/embedding-model
Jan 23, 2025
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Building a Semantic Search Application with MongoDB and Quarkus using Vector Search
✅ Try MongoDB 8.0 → https://mdb.link/91SzYGDmFoI ✅ Sign-up for a free cluster → https://mdb.link/91SzYGDmFoI-try ✅ Article link → https://mdb.link/91SzYGDmFoI-read - Discover how to harness the power of MongoDB's vector search capability to build a semantic search application using the Quarkus framework. In this comprehensive tutorial, we'll guide you step-by-step from understanding vector search fundamentals to implementing a functional Java application. Learn how to use Gemini AI for vector embeddings, create optimized queries, and set up your MongoDB Atlas cluster for seamless integration. Whether you're new to vector search or looking to enhance your generative AI applications, this video provides all the tools you need to get started. - 📚 Git repo: https://github.com/mongodb-developer/mongodb-vector-search-with-quarkus Resources: 📚 Vector Embeddings: https://mdb.link/91SzYGDmFoI-models 📚 Gemini AI: https://ai.google.dev/api?lang=python https://ai.google.dev/gemini-api/docs/api-key Similarity values: 📚 Euclidean: https://en.wikipedia.org/wiki/Euclidean_distance 📚 Cosine: https://en.wikipedia.org/wiki/Cosine_similarity 📚 Dot Product: https://en.wikipedia.org/wiki/Dot_product
Jan 21, 2025
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Improve Your LLM Applications Using Parent Document Retrieval
✅ Try MongoDB 8.0 → https://mdb.link/v=-fcuS0rk1KY ✅ Sign-up for a free cluster → https://mdb.link/v=-fcuS0rk1KY-free ✅ Written version → https://mdb.link/v=-fcuS0rk1KY-written - In this livestream, you will learn about an advanced retrieval technique called parent document retrieval. We will look at use cases where this technique is useful and how it works, followed by a live code walkthrough of how to implement it in RAG and agentic applications.
Jan 16, 2025
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Building a Test Framework with MongoDB
Try MongoDB 8.0 → https://mdb.link/Bz7qAxMXKo4 Sign-up for a free cluster → https://mdb.link/Bz7qAxMXKo4-8.0 Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 🎥 Dive into the world of MongoDB testing with Pytest! In this tutorial, Developer Advocate Mark Smith shows you how to leverage Pytest fixtures for running tests on your MongoDB cluster with ease and efficiency. 🔍 What You’ll Learn: How to create and use Pytest fixtures to manage MongoDB client sessions How to write integration tests using transactions in MongoDB to ensure that your database states are clean post-testing The importance of a data access layer (DAL) when interfacing with your MongoDB database Efficiently testing CRUD operations with a fun Pirates theme! 🛠 Key Features: Setting up your MongoDB client and handling session scope Using transactions to allow changes to your database that automatically rollback after tests Understanding the power of fixtures over simple utility functions Whether you're developing apps or looking to write robust tests for your MongoDB data interactions, this video is packed with essential techniques to enhance your workflow and ensure optimal data integrity. Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
Jan 14, 2025
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What is retrieval-augmented generation (RAG)? #ai #mongodbbasics
Learn more about RAG on Developer Center: https://mdb.link/rag-guide" target="_blank" rel="noreferrer">https://mdb.link/rag-guide Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Learn what retrieval-augmented generation is, why it's important, and how it's related to LLMs. Learn more about RAG on Developer Center: https://mdb.link/rag-guide" target="_blank" rel="noreferrer">https://mdb.link/rag-guide
Jan 09, 2025
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Wrapping Up Local London: Key Takeaways and Future Insights from MongoDB
✅ Try MongoDB 8.0 → https://mdb.link/lPQh_9b00II-8.0 ✅ Sign-up for a free cluster → https://mdb.link/lPQh_9b00II-try - Join us as we conclude our exciting day at Local London! In this final segment, we reflect on the highlights of the event, including key announcements, insightful discussions, and the innovative features showcased throughout the day. Our hosts share their thoughts on the importance of developer productivity, the impact of AI on various industries, and the future of MongoDB's offerings. Whether you missed the event or want to recap the key moments, this episode is packed with valuable insights and a look ahead at what's next for MongoDB.
Dec 27, 2024
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Transforming the Insurance Industry with MongoDB: Insights on AI and Data Modernization
✅ Try MongoDB 8.0 → https://mdb.link/oqBsHREc9PM-8.0 ✅ Sign-up for a free cluster → https://mdb.link/oqBsHREc9PM-try - In this episode, we sit down with industry experts to discuss how MongoDB is revolutionizing the insurance sector through data modernization and AI integration. Discover how MongoDB's document model simplifies data processing, enhances developer productivity, and reduces friction in application development. Learn about the exciting advancements in vector search and unstructured data handling that are set to transform customer experiences in insurance. Whether you're in the industry or just curious about the future of data management, this episode is packed with valuable insights and practical applications.
Dec 23, 2024
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Enhancing Developer Experience with Atlas CLI and Docker Support
✅ Try MongoDB 8.0 → https://mdb.link/SA2NPYzzGjk-8.0 ✅ Sign-up for a free cluster → https://mdb.link/SA2NPYzzGjk-try - In this episode, we explore the exciting advancements in MongoDB's Atlas CLI and Docker support with a leading expert in developer tools. Discover how these features streamline local development, enabling faster feedback loops and efficient testing environments. Learn about the integration with existing Docker tools, the benefits of running MongoDB locally, and the future enhancements on the horizon. Whether you're a developer looking to optimize your workflow or just curious about the latest in MongoDB, this episode is packed with valuable insights to elevate your development experience.
Dec 20, 2024
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What is Chunking in AI? A Solution to Passing Large Documents
Passing large documents as input to an LLM means that the LLM has to parse out the most relevant information to answer user queries. This can be challenging given that LLMs are designed to process input sequentially, token by token. This is where chunking helps. - Learn more about chunking in AI on Developer Center: https://mdb.link/choosing-chunking-strategy
Dec 19, 2024