Tutorials
Leverage vector embeddings alongside operational data to build scalable semantic search experiences integrated within MongoDB Atlas.- Latest
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Tutorial
How to Use Cohere's Quantized Vectors to Build Cost-effective AI Apps With MongoDB
Learn how to build cost-effective AI apps using Cohere's quantized vectors and MongoDB Atlas. This tutorial covers vector quantization techniques, efficient embedding storage, and optimized vector search operations. Discover how to leverage BSON encoding and int8 quantization to significantly reduce storage requirements while maintaining search accuracy. Ideal for developers looking to scale their AI applications and optimize performance in production environments.Oct 03, 2024
Tutorial
Simplify Semantic Search With LangChain and MongoDB
Dive into semantic search with our tutorial on integrating LangChain and MongoDB. Simplify loading, transforming, embedding, and storing data.Sep 23, 2024
Tutorial
How to Implement Databricks Workflows and Atlas Vector Search for Enhanced Ecommerce Search Accuracy
Learn how to implement Databricks Workflows and Atlas Vector Search for your Ecommerce accuracy.Sep 18, 2024
Tutorial
Learn to Build AI-Enhanced Retail Search Solutions with MongoDB and Databricks
Learn how to utilize MongoDB and Databricks to build ai-enhanced retail search solutions.Sep 18, 2024
Tutorial
How to Seamlessly Use MongoDB Atlas and IBM watsonx.ai LLMs in Your GenAI Applications
Learn how to build a RAG framework using MongoDB Atlas Vector Search and IBM watsonx LLMs.Sep 18, 2024
Tutorial
Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models
Learn how to build generative AI (GenAI) applications by harnessing the power of MongoDB Atlas and Vector Search.Sep 18, 2024
Tutorial
How to Do Semantic Search in MongoDB Using Atlas Vector Search
Learn how to get started with Vector Search on MongoDB while leveraging the OpenAI.Sep 18, 2024
Tutorial
Build an Image Search Engine With Python & MongoDB
Build a search engine for photographs with MongoDB Atlas Vector Search and a multi-modal embedding model.Sep 18, 2024