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.
β23Updated 2 weeks ago
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:
- π Extract information from your documents at scale with Generative AIβ79Updated 2 weeks ago
- β125Updated 2 weeks ago
- Building an AWS Solution Architect Agent with Generative AIβ41Updated 2 years ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchainβ100Updated 2 weeks ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrockβ150Updated 2 weeks ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 mβ¦β30Updated last year
- Demo of Anthropic's open source MCP used with Amazon Bedrock Converse APIβ95Updated 8 months ago
- An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your oβ¦β225Updated 2 weeks ago
- Creating Amazon Bedrock agents with Streamlit Frameworkβ126Updated 5 months ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analβ¦β92Updated last year
- Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language modelβ¦β30Updated last month
- A Python framework for multi-modal document understanding with Amazon Bedrockβ94Updated last month
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integrationβ27Updated 4 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.β111Updated 3 weeks ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrockβ33Updated last year
- β30Updated 5 months ago
- β51Updated 3 months ago
- β23Updated 9 months ago
- β18Updated 3 weeks ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrockβ87Updated last year
- β23Updated 4 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)β77Updated 3 weeks ago
- β50Updated 2 months ago
- 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.β40Updated 9 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databaβ¦β147Updated 5 months ago
- β161Updated this week
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Baseβ¦β56Updated last month
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverlessβ¦β65Updated 4 months ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)β84Updated 7 months ago
- β45Updated 5 months ago