awslabs / agent-evaluationLinks
A generative AI-powered framework for testing virtual agents.
☆239Updated 2 months ago
Alternatives and similar repositories for agent-evaluation
Users that are interested in agent-evaluation are comparing it to the libraries listed below
Sorting:
- Foundation Model Evaluations Library☆253Updated last month
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆101Updated 3 weeks ago
- Build LangChain Applications on AWS☆169Updated this week
- A Python framework for multi-modal document understanding with Amazon Bedrock☆90Updated last week
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆241Updated last month
- ☆145Updated last week
- Hands-on workshop for distributed training and hosting on SageMaker☆139Updated last week
- ☆90Updated this week
- Mistral on AWS examples for Bedrock & SageMaker☆70Updated this week
- Cloud-native, AI-powered, document processing pipelines on AWS.☆179Updated 2 months ago
- Tools to measure latency for LLM in Amazon Bedrook☆22Updated 3 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆76Updated this week
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆282Updated 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…☆76Updated 7 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆162Updated 2 months ago
- Use LLMs for building real-world apps☆112Updated 4 months ago
- Demo of Anthropic's open source MCP used with Amazon Bedrock Converse API☆90Updated 6 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.☆40Updated 7 months ago
- ☆102Updated this week
- ☆23Updated 2 months ago
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆84Updated 11 months ago
- Workshop Studio☆155Updated last year
- ☆248Updated 10 months ago
- Creating Amazon Bedrock agents with Streamlit Framework☆119Updated 3 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆77Updated 6 months ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆214Updated 4 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆232Updated last week
- ☆63Updated 3 weeks ago
- Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions☆174Updated this week
- Function calling using Amazon Bedrock with Anthropic Claude 3 foundation model☆30Updated 7 months ago