Sold by: Gemenie Labs
Deployed on AWS
AWS Free Tier
Transform documents, images, and media into a searchable AI knowledge base with serverless document processing, multimodal embeddings, and Bedrock-powered chat with source attribution.
Overview
RAGStack is a fully serverless document and media processing platform that transforms your files into a searchable AI-powered knowledge base. Upload PDFs, images, Office documents, audio, and video. RAGStack automatically extracts text using Amazon Textract or Bedrock vision models, transcribes media with speaker identification, and indexes everything using Amazon Nova multimodal embeddings for intelligent search and chat.
Built entirely on AWS serverless services, RAGStack eliminates infrastructure management while keeping costs low. Process 1,000 documents for as little as $7-10/month using S3-backed vector storage instead of expensive managed alternatives. The included React dashboard provides document management, configuration, and an AI chat interface with source attribution. For developers, RAGStack offers a GraphQL API, embeddable web component for any framework, and MCP server integration for AI assistants like Claude Desktop and Cursor.
RAGStack is open source under the Apache 2.0 license, giving you full access to customize and extend the platform for your specific needs. Deploy in approximately 10 minutes with one click...no local development environment required.
Highlights
- Serverless document processing for PDF, images, Office docs, and media - Automatic OCR, transcription with speaker identification, and intelligent text extraction with no infrastructure to manage
- Multimodal AI search and chat with source attribution - Amazon Nova embeddings enable cross-modal search while Bedrock-powered chat provides answers with clickable citations to exact locations
- Cost-optimized RAG architecture on AWS - S3-backed vector storage reduces costs to ~$1/month versus $50+/month alternatives; pay only for what you use
Details
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
RagStack uses a single Free pricing dimension. You get access at no cost, with no tiers, usage add-ons, or paid options to compare. The listing is a document processing platform that lets you upload documents, extract text, and query them using an AI retrieval service. Because only one dimension exists, there is no scaling logic or quantity-based pricing to consider. You pay nothing under this Free dimension.
Top-of-mind questions for buyers
The Free dimension gives you access at no cost. The listing itself does not state a usage cap or metered limit under this dimension. For any specific limits on documents, queries, or processing volume, contact the vendor to confirm details.
You get a document processing platform. You upload documents, extract text using optical character recognition, and query them through an AI retrieval service. Retrieval-augmented generation lets you ask questions about your documents conversationally and receive answers drawn from their content.
gemenielabs.hatstack.fun
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
RAGStack is provided as a free, open-source product under the Apache 2.0 license. Support is available through email and GitHub Issues.
What's included:
- Email support for deployment issues and configuration questions
- Bug reports and feature requests via GitHub Issues
- Access to full source code and documentation
- Community support through GitHub Discussions
Email: gemenielabs@gmail.com
Response time: Best-effort response within 48-72 hours for email inquiries. Critical deployment issues are prioritized.
Self-service resources:
- Comprehensive README with deployment instructions
- Architecture documentation and configuration guides
- Example configurations and troubleshooting tips in the repository
GitHub:
AWS infrastructure support
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