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Generating MQL Shell Commands Using OpenAI and New mongosh Shell

Learn how new mongosh external modules can be used to generate MQL language via OpenAI engine. Transform simple text sentences into sophisticated queries. ...
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AIMongoDBShell

Jul 11, 2023 | 7 min read
Pavel Duchovny
Quickstart

PyMongoArrow: Bridging the Gap Between MongoDB and Your Data Analysis App

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Jul 11, 2023 | 7 min read
Article

Streaming Data with Apache Spark and MongoDB

Streaming Data with Apache Spark and MongoDB

Jul 11, 2023 | 7 min read
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Harnessing Natural Language for MongoDB Queries with Google Gemini

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Apr 09, 2024 | 7 min read
Article

Build an E-commerce Search Using MongoDB Vector Search and OpenAI

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Mar 12, 2024 | 12 min read
Article

Audio Find - Atlas Vector Search for Audio

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Mar 08, 2024 | 11 min read
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Tutorial

RAG Series Part 2: How to Evaluate Your RAG Application

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Apr 17, 2024 | 20 min read
Tutorial

RAG Series Part 1: How to Choose the Right Embedding Model for Your Application

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Apr 15, 2024 | 16 min read
Tutorial

Leveraging MongoDB Atlas Vector Search with LangChain

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Apr 10, 2024 | 6 min read
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The Index: World Tour, RDBMS Schemas, & Terraform

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Mar 27, 2024 | 7 min
Video

AWS and Generative AI - Services, Deployments and RAG with Bedrock

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Mar 19, 2024 | 73 min
Video

Neurelo and MongoDB: Getting Started and Fun Extras

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Mar 15, 2024 | 16 min
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Video

The Index: World Tour, RDBMS Schemas, & Terraform

Welcome to The Index! We’re sharing all the latest and greatest from Developer Center, the MongoDB Podcast, our recent travels, and beyond. ➡️ View The Index in our Community Forums: https://mdb.link/xZYhGHSUyEM-index ⬅️ Be sure to give this video a thumbs up and subscribe to our channel, too! #MongoDB #TheIndex #Tech...
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Mar 27, 2024
Tutorial

Beyond Basics: Enhancing Kotlin Ktor API With Vector Search

Learn how to integrate Vector Search into your Kotlin with Ktor application using MongoDB....
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Mar 25, 2024
Ricardo Mello
Tutorial

Building a RAG System With Google's Gemma, Hugging Face and MongoDB

This article presents how to leverage Gemma as the foundation model in a Retrieval-Augmented Generation (RAG) pipeline or system, with supporting models provided by Hugging Face, a repository for open-source models, datasets and compute resources....
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Mar 21, 2024
Richmond Alake
Tutorial

Adding Semantic Caching and Memory to Your RAG Application Using MongoDB and LangChain

This guide outlines how to enhance Retrieval-Augmented Generation (RAG) applications with semantic caching and memory using MongoDB and LangChain. It explains integrating semantic caching to improve response efficiency and relevance by storing query results based on semantics. Additionally, it describes adding memory for maintaining conversation history, enabling context-aware interactions. The tutorial includes steps for setting up MongoDB, implementing semantic caching, and incorporating these features into RAG applications with LangChain, leading to improved response times and enriched user interactions through efficient data retrieval and personalized experiences....
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Mar 20, 2024
Richmond Alake (+1)
Video

AWS and Generative AI - Services, Deployments and RAG with Bedrock

✅ Register for Atlas - https://mdb.link/xgqrVhUoey4-register ✅ Vector Search - https://mdb.link/xgqrVhUoey4-vector - In this episode, Shane Mc Allister is joined by David Min and Rustem Feyzkhanov to explore a range of approaches for deploying pretrained LLM models to AWS cloud using SageMaker JumpStart, SageMaker SDK and AWS Copilot. In addition, we'll showcase how to leverage Retrieval Augmented Generation (RAG) with MongoDB Atlas, Vector Search, and Amazon Bedrock. To bring these concepts to life, we'll swiftly showcase demos illustrating the deployment process for a generative AI model using SageMaker JumpStart and AWS Copilot and how to enable natural language queries to extract more value and insights from your data....
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Mar 19, 2024
Video

Neurelo and MongoDB: Getting Started and Fun Extras

This in-depth tutorial will take you through how to create a MongoDB Atlas cluster, how to create a Neurelo account, how to connect your Atlas cluster to your Neurelo project, how to explore Neurelo's API playground and we will finish off by creating complex queries using Neurelo's AI Assist feature. Join us for a full and fun tutorial discovering the fun intersection between these two platforms! For more information on everything discussed in this video, please check out the linked resources below: Resources: MongoDB Atlas documentation: https://mdb.link/zzEbvxScKHc-atlas MongoDB Developer Forum: https://mdb.link/zzEbvxScKHc-forums Neurelo Resources: Neurelo documentation: https://docs.neurelo.com/ Neurelo videos: https://docs.neurelo.com/how-to-videos Neurelo API help: https://docs.neurelo.com/neurelo-api-reference-rest...
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Mar 15, 2024
Article

Build an E-commerce Search Using MongoDB Vector Search and OpenAI

Create an e-commerce semantic search utilizing MongoDB Vector Search and OpenAI models...
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Mar 12, 2024
Ashiq Sultan
Article

Audio Find - Atlas Vector Search for Audio

This in-depth article explores the innovative creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding. Discover how sound embeddings are generated using the Panns-inference model via S3 hosted files, and how similar songs are identified, creating a dynamic and personalized audio discovery experience....
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Mar 08, 2024
Ran Shir (+1)
Tutorial

How to Build a RAG System Using Claude 3 Opus And MongoDB

This guide details creating a Retrieval-Augmented Generation (RAG) system using Anthropic's Claude 3 models and MongoDB. It covers environment setup, data preparation, and chatbot implementation as a tech analyst. Key steps include database creation, vector search index setup, data ingestion, and query handling with Claude 3 models, emphasizing accurate, context-aware responses. ...
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Mar 07, 2024
Richmond Alake
Video

Exploring GenAI - it’s not magic!

✅ Register to Atlas - https://mdblink.com/x6PZ91F1RPc-register - We’ll discover how GenAI works under covers. There are a lot of patterns which can leverage the power of LLMs and other foundation models. But most of us rarely think how things really work under the hood. The current architecture of so called Transformers is based on the well-known neural networks, invented many years ago. In this talk we’ll uncover the basic architectures, concepts and solutions of both good old neural networks and modern transformer architectures which are the foundation of Large Language Models. Understanding how things work lets us better utilize the potential of GenAI!...
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Mar 04, 2024