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Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

Jump Right To The Downloads Section Introduction In the previous post , we walked through the process of indexing and storing movie data in OpenSearch. In this tutorial, well explore how OpenSearch performs k-NN (k-Nearest Neighbor) search on embeddings. Implement and analyze search results using Python scripts.

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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region. Access Planet data To help users get accurate and actionable data faster, Planet has also developed the Planet Software Development Kit (SDK) for Python.

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8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

Python is still one of the most popular programming languages that developers flock to. In this blog, we’re going to take a look at some of the top Python libraries of 2023 and see what exactly makes them tick. NumPy arrays are similar to lists in Python, but they are optimized for performance.

Python 52
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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning Blog

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. You then display the top similar results.

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70+ Best and Unique Python Machine Learning Projects with source code [2023]

Mlearning.ai

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask.

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Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning Blog

We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. In this post, we present a solution to handle OOC situations through knowledge graph-based embedding search using the k-nearest neighbor (kNN) search capabilities of OpenSearch Service. Solution overview.

AWS 101
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Use DeepSeek with Amazon OpenSearch Service vector database and Amazon SageMaker

Flipboard

Python The code has been tested with Python version 3.13. For clarity of purpose and reading, weve encapsulated each of seven steps in its own Python script. Return to the command line, and execute the script: python create_invoke_role.py Return to the command line and execute the script: python create_connector_role.py