RAGStack Lambda MCP Server

Example Use Cases

• 1

  Scalable, serverless document and media ingestion with AI-powered search and chat.

• 2

  Integration of multimodal embeddings and timestamped media transcription for enhanced knowledge retrieval.

• 3

  A cost-effective, no-idle-cost knowledge base with AI chat and source attribution.

Description

RAGStack-Lambda provides a fully serverless architecture to upload, process, and query documents, images, video, and audio using OCR, transcription, and Amazon Bedrock AI models. It supports multimodal embeddings, metadata filtering, and timestamped media search, enabling AI chat with source attribution and scalable knowledge base management without vector database fees. The system integrates easily with AI assistants via MCP protocol and offers flexible deployment options including one-click AWS Marketplace deployment.