build-on-aws / building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python
With this WhatsApp app, you can chat in any language with a Large language models (LLM) on Amazon Bedrock. Send voice notes and receive transcriptions. By making a minor change in the code, you can also send the transcription to the model.
☆36Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆174Updated last month
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆27Updated 5 months ago
- Amazon Transcribe Live Call Analytics (LCA) Sample Solution☆87Updated 2 weeks ago
- ☆222Updated 4 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆199Updated last week
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆33Updated 2 weeks ago
- This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.☆85Updated 2 weeks ago
- ☆26Updated 4 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆68Updated 7 months ago
- Building a Q&A app (powered by a LLM model) using AWS Bedrock, AWS Kendra, AWS S3 and Streamlit in just a couple of hours☆18Updated 11 months ago
- This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separa…☆305Updated last week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆65Updated 3 weeks ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆49Updated last week
- ☆30Updated last week
- Flexible and powerful framework for managing multiple AI agents and handling complex conversations☆190Updated this week
- ☆59Updated this week
- ☆53Updated last month
- Creating Amazon Bedrock agents with Streamlit Framework☆90Updated 3 weeks ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆59Updated last week
- LLM-powered document chat using Amazon Bedrock and AWS Serverless☆247Updated 2 weeks ago
- Enhanced Document Understanding on AWS delivers an easy-to-use web application that ingests and analyzes documents, extracts content, ide…☆34Updated last week
- ☆157Updated last month
- ☆19Updated this week
- 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…☆59Updated 3 weeks ago
- Building an AWS Solution Architect Agent with Generative AI☆37Updated last year
- The Generative AI Newsletter Application sample is a ready-to-use serverless solution designed to allow users to create rich newsletters …☆35Updated 2 weeks ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆45Updated 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…☆58Updated 4 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆73Updated 2 weeks ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆120Updated last week