aws-solutions-library-samples / guidance-for-low-cost-semantic-search-on-awsLinks
This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.
☆13Updated last week
Alternatives and similar repositories for guidance-for-low-cost-semantic-search-on-aws
Users that are interested in guidance-for-low-cost-semantic-search-on-aws are comparing it to the libraries listed below
Sorting:
- aws-solutions-library-samples / guidance-for-developing-data-and-ai-foundation-with-amazon-sagemakerDAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS usi…☆40Updated last month
- AWS Well-Architected Framework Review (WAFR) Acceleration with Generative AI (GenAI) sample.☆85Updated 3 months ago
- This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separa…☆398Updated this week
- Building SA AI Agent v2☆80Updated last year
- The Generative AI Assets Catalog is an organized repository designed for individuals seeking to explore the newest content released by AW…☆16Updated 4 months ago
- This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.☆162Updated this week
- Build a custom user interface for more tailored, controlled, and consolidated interactions with Amazon Q business.☆54Updated last year
- Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions☆342Updated this week
- ☆56Updated 8 months ago
- ☆40Updated last year
- The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.☆58Updated last year
- Amazon Transcribe Live Call Analytics (LCA) Sample Solution☆122Updated 3 months ago
- ☆73Updated this week
- A collection of samples, best practices and reference architectures for implementing SaaS applications on AWS for databases and data serv…☆59Updated 4 months ago
- This Guidance demonstrates how to securely run Model Context Protocol (MCP) servers on the AWS Cloud using containerized architecture. It…☆136Updated this week
- MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.☆27Updated 9 months ago
- AWS CDK Pipelines Demo Projects☆82Updated last year
- ☆33Updated 2 months ago
- Unlocking Creativity: Generative AI with SageMaker Jumpstart☆34Updated 2 years ago
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆91Updated last year
- ☆48Updated last year
- Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute☆227Updated last week
- Resource Library for AI-assisted software development with kiro☆90Updated this week
- Get ready to embark on an exciting journey as we combine the power of Amazon Bedrock, ReactJS and the AWS JavaScript SDK to create a gene…☆42Updated last year
- A tool that allows AWS customers to automate checks on their environment and services based on AWS best practices and provide recommendat…☆41Updated last year
- Cloud-native, AI-powered, document processing pipelines on AWS.☆186Updated 10 months ago
- Multi-Branch CI/CD Pipeline using CDK Pipelines.☆48Updated 2 years ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆318Updated 2 weeks ago
- ☆161Updated 8 months ago
- ☆160Updated 10 months ago