Amazon Bedrock Custom LangChain Agent is a reference architecture and code example that shows how to build AI agents by combining AWS Bedrock foundation models with LangChain. You define a set of tools (APIs, databases, RAG retrievers), configure agent policies and memory, and invoke multi-step reasoning flows. It supports streaming outputs for low-latency user experiences, integrates callback handlers for monitoring, and ensures security via IAM roles. This approach accelerates deployment of intelligent assistants for customer support, data analysis, and workflow automation, all on the scalable AWS cloud.

RAGDrive is a highly secure cloud storage solution that allows users to safely store, manage, and share their data. Its advanced encryption ensures data confidentiality, while its user-friendly interface provides seamless access and management of files across multiple devices. Ideal for personal and professional use, RAGDrive ensures that your data remains secure and accessible anytime, anywhere.