Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB
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Updated
Jun 23, 2025 - Python
Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB
欢迎来到"5分钟上手Strands系列"教程!这是一个专注于提升用户和开发者构建AI Agent能力的系列教程。通过简洁的5分钟教程形式,帮助您快速掌握Strands Agent的设计、开发、集成和部署流程。
Building an Intelligent AWS Cloud Engineer Agent with Strands Agents SDK
A full-stack web application that conducts comprehensive research using multiple specialized AI agents to gather, analyze, and synthesize information from diverse sources into coherent reports.
From Douglas Hofstadter's "Gödel, Escher, Bach" (1979)
Vulkan-based strand-level hair renderer
We made this application for our Thesis subject. The SHS Academic Track Recommendation System is a computer program build with Fuzzy Logic to guide Junior High School students to find the best SHS Track/Strand that fits with their personal preferences and skills.
CalledIt is a serverless web application that converts natural language predictions into structured, verifiable formats using AI agents. Built on AWS serverless architecture, it provides a robust platform for creating, managing, and validating predictions with intelligent verifiability categorization.
perl script that reads file in multifasta format and complements it
Feedminer is nominally an app to let you analyze your own social media feeds to help you set goals for yourself. In reality, Feedminer is a working demo of how to implement streaming responses from LLMs via Lambda and API Gateway using WebSockets. It's also a demo on how to use AWS streams to switch models quickly in AWS Bedrock.
MCP Server for Strands leveraging ElasticSearch
From Douglas Hofstadter's "Gödel, Escher, Bach" (1979)
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