aws-samples / aws-genai-rag-workshopLinks
☆33Updated 2 months ago
Alternatives and similar repositories for aws-genai-rag-workshop
Users that are interested in aws-genai-rag-workshop are comparing it to the libraries listed below
Sorting:
- 🚀 Extract information from your documents with Generative AI☆106Updated this week
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated this week
- This repository contains a collection of Generative AI samples and examples using AWS services and AWS partner products.☆68Updated this week
- A sample agentic ai platform to run agentic workflows on AWS using either EKS or Bedrock AgentCore with open source frameworks like LangC…☆61Updated 2 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆181Updated last week
- 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
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆150Updated 10 months ago
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆31Updated 9 months ago
- ☆36Updated 3 months ago
- Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock☆50Updated this week
- ☆54Updated 4 months ago
- A full-stack AI chat application powered by Amazon Bedrock and Strands Agents☆39Updated this week
- 'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker☆44Updated 11 months ago
- Building an AWS Solution Architect Agent with Generative AI☆42Updated 2 years ago
- Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks eff…☆24Updated last week
- ☆47Updated 8 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.☆42Updated last year
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆90Updated last year
- Demo of Anthropic's open source MCP used with Amazon Bedrock Converse API☆94Updated last year
- Learn how to quickly build Agents with Amazon Bedrock☆103Updated last year
- Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.☆217Updated last month
- A Python framework for multi-modal document understanding with Amazon Bedrock☆100Updated this week
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆53Updated 2 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆213Updated this week
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆87Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆125Updated 2 months ago
- Vector databases for generative AI☆22Updated last year
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆97Updated 3 months ago
- Creates a simple MCP tool server with "streaming" HTTP.☆233Updated 6 months ago