awslabs / genai-bedrock-chatbotLinks
A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.
☆48Updated last month
Alternatives and similar repositories for genai-bedrock-chatbot
Users that are interested in genai-bedrock-chatbot are comparing it to the libraries listed below
Sorting:
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆117Updated 2 months ago
- ☆54Updated last month
- ☆42Updated 5 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆126Updated 7 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆275Updated 2 weeks ago
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆61Updated 3 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆128Updated 7 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆79Updated last week
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆92Updated 11 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆35Updated last year
- Use LLMs for building real-world apps☆113Updated 8 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆166Updated 2 months ago
- Mistral on AWS examples for Bedrock & SageMaker☆84Updated last month
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆66Updated 11 months ago
- Learn how to quickly build Agents with Amazon Bedrock☆98Updated last year
- ☆45Updated 7 months ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆82Updated 10 months ago
- ☆67Updated last year
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆50Updated 11 months ago
- Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock☆47Updated last month
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆106Updated this week
- ☆39Updated 11 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…☆85Updated 11 months ago
- ☆254Updated last year
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆88Updated 9 months ago
- ☆102Updated 2 weeks ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆94Updated last month
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆201Updated 3 weeks ago
- ☆23Updated 6 months ago
- Generative AI on AWS Immersion Day☆52Updated 5 months ago