Frameworks
Amazon SageMaker
Combine Amazon SageMaker with Pinecone to host LLMs and embedding models for scalable retrieval-augmented generation and vector search workloads.
Amazon SageMaker is a fully managed service that brings together a broad set of tools for machine learning (ML). With SageMaker, you can build, train, and deploy ML models at scale in one integrated development environment (IDE). SageMaker supports governance requirements with simplified access control and transparency over your ML projects. Amazon SageMaker offers access to hundreds of pretrained models, including publicly available foundational models (FMs), and you can build your own FMs with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs.
You can use Amazon SageMaker and Pinecone together for retrieval-augmented generation (RAG) use cases. The integration uses Amazon SageMaker to compute and host large language models (LLMs), and uses Pinecone as the knowledge base that keeps the LLMs up to date with the latest information, reducing the likelihood of hallucinations.
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