aws-samples / sagemaker-vector-store-microserviceLinks
☆22Updated 2 years ago
Alternatives and similar repositories for sagemaker-vector-store-microservice
Users that are interested in sagemaker-vector-store-microservice are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- Use LLMs for building real-world apps☆112Updated 11 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last month
- ☆42Updated 8 months ago
- ☆46Updated last year
- ☆55Updated 2 months ago
- Foundation Model Evaluations Library☆275Updated 5 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆129Updated 10 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆100Updated this week
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 9 months ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆191Updated this week
- 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…☆90Updated last year
- ☆32Updated 2 years ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆150Updated 10 months ago
- Mistral on AWS examples for Bedrock & SageMaker☆88Updated this week
- ☆54Updated 4 months ago
- ☆89Updated 3 years ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆213Updated this week
- ☆64Updated 8 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆96Updated last year
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆87Updated last year
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆50Updated last year
- ☆49Updated last year
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated this week
- ☆24Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆152Updated 3 weeks ago
- This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 m…☆31Updated last year
- A generative AI-powered framework for testing virtual agents.☆330Updated 3 weeks ago
- Hosting code-server on Amazon SageMaker☆57Updated 2 years ago
- ☆70Updated last month