aws-samples / aws-bedrock-with-rag-and-reactLinks
Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
☆102Updated last week
Alternatives and similar repositories for aws-bedrock-with-rag-and-react
Users that are interested in aws-bedrock-with-rag-and-react are comparing it to the libraries listed below
Sorting:
- AWS Generative AI Conversational RAG Reference (Galileo)☆78Updated this week
- Building an AWS Solution Architect Agent with Generative AI☆41Updated 2 years ago
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆81Updated 10 months ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆85Updated 8 months ago
- ☆51Updated 4 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆201Updated 2 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆156Updated last month
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆264Updated last week
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆116Updated last month
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated last year
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆87Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆127Updated 6 months ago
- ☆253Updated last year
- Cloud-native, AI-powered, document processing pipelines on AWS.☆185Updated 5 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆94Updated last year
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆30Updated 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.☆40Updated 10 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆147Updated 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 anal…☆91Updated last year
- Workshop Studio☆157Updated last year
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆161Updated 5 months ago
- ☆23Updated 4 months ago
- Use LLMs for building real-world apps☆114Updated 7 months ago
- ☆67Updated last year
- ☆127Updated this week
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆122Updated 6 months ago
- LLM-powered document chat using Amazon Bedrock and AWS Serverless☆284Updated last week
- ☆81Updated last year
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆57Updated 2 months ago
- ☆39Updated 3 months ago