aws-samples / improve-employee-productivity-using-genaiLinks
Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
☆24Updated last week
Alternatives and similar repositories for improve-employee-productivity-using-genai
Users that are interested in improve-employee-productivity-using-genai are comparing it to the libraries listed below
Sorting:
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated last week
- 🚀 Extract information from your documents with Generative AI☆107Updated last week
- A Python framework for multi-modal document understanding with Amazon Bedrock☆100Updated last week
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆31Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆125Updated 3 months ago
- A sample agentic ai platform to run agentic workflows on AWS using either EKS or Bedrock AgentCore with open source frameworks like LangC…☆68Updated last week
- ☆47Updated 8 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last month
- This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with t…☆45Updated last week
- Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock☆50Updated last week
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆68Updated 7 months ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆92Updated last year
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆42Updated last year
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆77Updated 3 months ago
- Building an AWS Solution Architect Agent with Generative AI☆42Updated 2 years ago
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 11 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆186Updated last week
- ☆134Updated last week
- This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document…☆27Updated 2 months ago
- Elevate Your DevOps Pipeline with Generative AI☆25Updated 11 months ago
- ☆54Updated 4 months ago
- Sample solution to automate tedious regulatory compliance processes using multi-agent systems☆22Updated 9 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆103Updated last year
- 'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker☆44Updated 11 months ago
- ☆42Updated 8 months ago
- Reimagine the seller product onboarding experience with generative AI to create product titles and descriptions, categorize, and extract …☆26Updated last week
- Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language model…☆36Updated this week
- ☆36Updated 4 months ago
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆31Updated 9 months ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆99Updated 4 months ago