aws-samples / rag-with-amazon-bedrock-and-pgvector
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
☆72Updated last month
Alternatives and similar repositories for rag-with-amazon-bedrock-and-pgvector:
Users that are interested in rag-with-amazon-bedrock-and-pgvector are comparing it to the libraries listed below
- AWS Generative AI Conversational RAG Reference (Galileo)☆73Updated 3 weeks ago
- Workshop Studio☆145Updated last year
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆80Updated this week
- Cloud-native, AI-powered, document processing pipelines on AWS.☆157Updated 2 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…☆70Updated 3 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆71Updated 2 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆84Updated last week
- This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.☆103Updated this week
- ☆58Updated 7 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆163Updated last week
- Try Artifacts and Code Interpreter Tool with Amazon Bedrock.☆89Updated last week
- Creating Amazon Bedrock agents with Streamlit Framework☆101Updated this week
- ☆63Updated last month
- Pre-built examples of Generative AI agents with Bedrock across multiple industries.☆31Updated 3 months ago
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆25Updated 2 months ago
- ☆43Updated 3 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.☆37Updated 3 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆74Updated 10 months ago
- Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities☆180Updated this week
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆99Updated 2 months ago
- Building an AWS Solution Architect Agent with Generative AI☆39Updated last year
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆53Updated this week
- ☆235Updated 6 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆131Updated last month
- The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.☆52Updated 11 months ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆27Updated 8 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆33Updated 10 months ago
- Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK☆71Updated 6 months ago
- This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to le…☆39Updated 8 months ago
- Generative AI on AWS Immersion Day☆50Updated 9 months ago