An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base, switch embedding models, and tune retrieval parameters on-the-fly through a conversational interface.
This project demonstrates how you can enhance standard CRUD operations in your application using Semantic Search mechanism.
This is a Python Flask and MongoDB Atlas Search tutorial. Let me know if you have any questions at @marcusforpeace on twitter.
MongoDB .Local NYC 2023 talk on how to rapidly iterate an application and evolve the user experience using Atlas Search
Metadata filtering in RAG application
Completed the official MongoDB course, mastering topics like CRUD operations, aggregation, indexing, data modeling, and transactions. Equipped to work effectively with MongoDB, from basic operations to advanced features.
Indian Dishes Catalog UI
Bruin Taste, a website that can search for UCLA menu recipes and can also save favorites for users after login.
A c# console app to act as MQTT broker and write messages to MongoDB Realm
🗺️ Visualize and explore large embeddings interactively, enabling easy navigation, clustering, and density analysis of your data.
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