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.
☆38Updated 5 months ago
Alternatives and similar repositories for building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python:
Users that are interested in building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python are comparing it to the libraries listed below
- ☆13Updated last month
- 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
- ☆233Updated 6 months ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆75Updated 9 months ago
- Building an AWS Solution Architect Agent with Generative AI☆39Updated last year
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆38Updated 2 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆197Updated this week
- Learn how to quickly build Agents with Amazon Bedrock☆73Updated 9 months ago
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆53Updated last month
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆60Updated 2 months ago
- ☆34Updated 2 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆257Updated this week
- ☆26Updated 6 months ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆31Updated 10 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆67Updated 2 months ago
- ☆62Updated last month
- ☆31Updated 6 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆130Updated last month
- Generative AI on AWS Immersion Day☆49Updated 9 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆98Updated 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
- 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
- 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…☆61Updated 3 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆80Updated 3 months ago
- This repo contains code for a demo of Amazon Bedrock Agents.☆38Updated 7 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆83Updated this week
- This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.☆101Updated this week
- ☆34Updated 2 weeks ago
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆14Updated last month
- ☆67Updated this week