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A high-level, interpreted programming language and it is used for general purpose. Python is one of the most popular languages for data-intensive tasks and data science because of its rich library support for statistics, machine learning, and AI-related tasks.- Latest
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Sip, Swig, and Search with Playwright, OpenAI and MongoDB Atlas Search
✅ Atlas Search → https://mdb.link/DzDnm_cB-IAsearch ✅ Playwright → https://playwright.dev/ ✅ OpenAI's Structured Outputs → https://openai.com/index/introducing-structured-outputs-in-the-api/ ✅ MongoDB Developer Forum → https://mdb.link/DzDnm_cB-IA-forum - Join Developer Advocate Anaiya Raisinghani as she takes you through her tutorial finding the best fall drinks from Utah's most famous "dirty" soda chain, Swig! We will be using Playwright, OpenAI's Structured Outputs and MongoDB's Atlas Search to accomplish this goal.
Oct 28, 2024
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An Interview With Beanie's Roman Right
✅ Create your free Atlas cluster - https://mdb.link/DCOloE011l4-free ✅ Roman's Champion Page - https://mdb.link/DCOloE011l4-page ✅ A Cocktail App with Beanie - https://mdb.link/DCOloE011l4-beanie - Roman Right is a MongoDB Champion, and the author of the Beanie Object-Document Mapping library for Python, and its synchronous sibling, Bunnet. Mark Smith and Roman will have a chat about what it takes to be a MongoDB Champion, the fun of building dynamic libraries like Beanie, and we'll take a dive into what it looks like when building an application with Beanie
Sep 05, 2024
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Building AI Services with FastAPI & Bedrock
✅ MongoDB Atlas account → https://mdb.link/KL8CAm6Eoks-register ✅ Get help on our Community Forums → https://mdb.link/KL8CAm6Eoks-forums ✅ Writen article → https://mdb.link/KL8CAm6Eoks-article - We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications.
Aug 15, 2024
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Using Atlas Vector Search and PyMongoArrow to Semantically Search Through Luxury Fashion Items
In this video Associate Developer Advocate, Anaiya Raisinghani, will take you through how to use the PyMongoArrow library and MongoDB Atlas Vector Search to semantically search through luxury fashion items. ✅ A MongoDB Atlas account → https://www.mongodb.com/cloud/atlas/register ✅ MongoDB Atlas cluster → https://www.mongodb.com/resources/products/fundamentals/clusters ✅ Dataset from Kaggle → https://www.kaggle.com/datasets/justinpakzad/net-a-portermr-porter-fashion-dataset?select=net-a-porter.csv ✅ OpenAI API key → https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
Jul 15, 2024
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Python RAG - Haystack and MongoDB Atlas
✅ Get Started with the Haystack Integration - https://mdb.link/21DNJncemto-start ✅ Building RAG Pipelines With Haystack and MongoDB Atlas - https://mdb.link/21DNJncemto-build ✅ Uploaded code : https://github.com/mongodb-developer/GenAI-Showcase/blob/main/notebooks/agents/MongoDB_Haystack_self_reflecting_Cooking_agent.ipynb - We’ve partnered with Andrew Ng and DeepLearning AI to help you unlock the power of building efficient RAG applications through their new course, for FREE! Start learning now https://trymongodb.com/3AgNirl Live coding of a small rag pipeline to create a small AI app. Effortlessly take the template and build AI apps fast with Haystack and MongoDB leveraging Pymongo.
Jun 26, 2024
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Building AI assisted tooling into your Application using MongoDB and OpenAI.
✅ Sign-up for a free cluster at → https://mdb.link/jI5iRjnGLkE-register ✅ Get help on our Community Forums → https://mdb.link/jI5iRjnGLkE-forums ✅ Repo - https://github.com/mongodb-developer/stream-airbnb-ai-reviews - AI can assist in many application areas that does not require a direct user interaction. In this live stream we will use Mongodb event driven features in conjunction with AI models to enrich AI based review summary on live user comments.
Jun 18, 2024
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Evaluating your RAG Applications
✅ Sign-up for a free cluster at → https://mdb.link/AH10-Ec0qG8-register ✅ Get help on our Community Forums → https://mdb.link/AH10-Ec0qG8-forums - In this livestream, we will deep-dive into evaluating LLM applications. We will talk about the evaluation process and metrics, along with a code walkthrough of how to evaluate a RAG application using the RAGAS framework. - Link to this article: https://mdb.link/AH10-Ec0qG8-article
Jun 04, 2024
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Fundamentals of Building a FARM Stack App in 5 min
❗ Here's the correct link - https://mongodb-celeb-search.com/ ✅ Sign-up for a free cluster at → https://mdb.link/LldmlWM1amg-register ✅ Get help on our Community Forums → https://mdb.link/LldmlWM1amg-forums - Join Associate Developer Advocate Anaiya Raisinghani as she talks about the fundamentals of building a FARM stack application in this quick 5 minute lightning talk. ✅ For more information on MongoDB’s FARM stack check out this article on our Developer Center → https://mdb.link/LldmlWM1amg-article - Subscribe to MongoDB YouTube→ https://mdb.link/subscribe #farm #react #fastapi #python #mongodb #developers
May 23, 2024
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Boosting AI: Build A Chatbot With Your Data | LangChain Templates Using the RAG Pattern
✅ Find the written article here → https://mdb.link/article-9zyL1_8X8rQ ✅ Sign-up for a free cluster → https://mdb.link/free-9zyL1_8X8rQ ✅ Get help on our Community Forums → https://mdb.link/community-9zyL1_8X8rQ We’ve partnered with Andrew Ng and DeepLearning AI to help you unlock the power of building efficient RAG applications through their new course, for FREE! Start learning now https://trymongodb.com/3LM0hny Discover how to enhance your AI chatbot using MongoDB Atlas Vector Search combined with LangChain Templates in our comprehensive tutorial. This video will guide you through the innovative process of integrating retrieval-augmented generation (RAG) pattern to improve your chatbot’s response accuracy and relevance. We'll walk you through the key technologies, including the use of MongoDB's Vector Search and the deployment of LangChain templates to seamlessly fuse external data with LLMs for more dynamic interactions. What You Will Learn: - How to use MongoDB Atlas Vector Search to pinpoint relevant data. - Setting up LangChain Templates for efficient AI integrations. - Step-by-step guide on deploying a chatbot using the RAG pattern. --- Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
Apr 26, 2024
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Going FARMing with Python & FastAPI!
✅ Sign-up for a free cluster at → https://mdb.link/65jdbqw8XHE-register ✅ Get help on our Community Forums → https://mdb.link/65jdbqw8XHE-forums - Every week you can watch Mark as he builds out a Data Access Layer in Python. The experimental docbridge library is an attempt to build a Pythonic framework that takes into account the various patterns that are used when designing document models with MongoDB. There are quite a few features in the docbridge library now! Let's build something with it, demonstrating some of the data modeling patterns it helps to abstract, and we can talk about how well it works with FastAPI and maybe some changes to make it even better. 📚 RESOURCES 📚 Best Practices for FastAPI & MongoDB → https://mdb.link/best-practices-fastapi-65jdbqw8XHE Six Principles of Resilient Evolvability → https://mdb.link/65jdbqw8XHE-blog Building with Patterns → https://mdb.link/65jdbqw8XHE-patterns Docbridge GitHub Repo → https://github.com/mongodb-developer/docbridge 💬 Connect with Mark: LinkedIn: https://www.linkedin.com/in/judy2k/ ------ ✅ Subscribe to our channel → https://mdb.link/subscribe
Mar 27, 2024