aws-samples / amazon-bedrock-rag-workshop
Workshop Studio
☆155Updated last year
Alternatives and similar repositories for amazon-bedrock-rag-workshop:
Users that are interested in amazon-bedrock-rag-workshop are comparing it to the libraries listed below
- AWS Generative AI Conversational RAG Reference (Galileo)☆76Updated last week
- ☆62Updated 10 months ago
- ☆246Updated 9 months 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…☆74Updated 6 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆182Updated this week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆126Updated this week
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆97Updated last month
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆112Updated 2 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆140Updated 2 months ago
- ☆134Updated 2 weeks ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆94Updated 3 months ago
- Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK☆71Updated last week
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆34Updated last year
- ☆60Updated last year
- Cloud-native, AI-powered, document processing pipelines on AWS.☆176Updated last month
- Creating Amazon Bedrock agents with Streamlit Framework☆114Updated 2 months ago
- ☆57Updated this week
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆162Updated last month
- ☆23Updated last month
- ☆103Updated last month
- ☆84Updated this week
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆60Updated 2 weeks ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆214Updated 3 months ago
- ☆20Updated last year
- ☆124Updated 4 months ago
- ☆37Updated 6 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆280Updated this week
- ☆93Updated 2 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆87Updated last year
- ☆28Updated last year