In an era where artificial intelligence (AI) is transforming how businesses operate, secure and efficient data management is crucial for unlocking AI’s potential. LightUp.Cloud, a secure team collaboration and file-sharing platform, introduces a powerful feature: private vector storage powered by Amazon OpenSearch Service and Amazon Bedrock. This enables retrieval-augmented generation (RAG) with per-tenant data isolation, allowing AI service providers to offer tailored solutions for architects, photographers, journalists, and small to medium-sized businesses (SMBs). By leveraging LightUp.Cloud, providers can accelerate digital content sales and streamline processes, while end users benefit from private, AI-driven content indexing. Here’s how LightUp.Cloud makes it happen.

Private Vector Storage with OpenSearch and Bedrock

LightUp.Cloud integrates Amazon OpenSearch Service as a vector database and Amazon Bedrock’s foundation models (FMs) to create a secure, scalable private vector storage system. Unlike traditional cloud platforms that may expose data to shared environments, LightUp.Cloud ensures per-tenant data isolation, meaning each user’s data is securely separated. This is critical for SMBs handling sensitive content, such as architectural designs, high-resolution photography, or journalistic reports.

• OpenSearch Vector Database: LightUp.Cloud uses OpenSearch Service to store and query billions of high-dimensional vector embeddings, enabling fast, semantic searches with millisecond response times. This supports RAG by retrieving contextually relevant data for AI applications.
• Amazon Bedrock Integration: Bedrock’s FMs generate embeddings for text, images, and other media, which are stored in OpenSearch. This allows providers to customize AI outputs with private, tenant-specific data, reducing hallucinations and improving accuracy.
• Per-Tenant Isolation: Each tenant’s data is stored in isolated indices, ensuring privacy and compliance with regulations like GDPR and CCPA, ideal for healthcare practices or journalists handling sensitive information.
• Erlang-Powered Reliability: LightUp.Cloud’s open-source, Erlang-based architecture ensures high availability and fault tolerance, with instant process restarts to keep AI services running smoothly.

Retrieval-Augmented Generation (RAG) with LightUp.Cloud

RAG enhances AI by combining generative models with a knowledge base, retrieving relevant data to ground responses in facts and minimize errors. LightUp.Cloud’s private vector storage enables RAG by indexing user content into vector embeddings, which are queried to provide context for AI outputs. For example:

• Architects: Query past project designs to generate proposals tailored to client preferences, using RAG to pull relevant blueprints from private storage.
• Photographers: Create AI-driven galleries by indexing image metadata, enabling clients to search for specific themes or styles semantically.
• Journalists: Use RAG to retrieve and summarize archived articles or sources, generating accurate reports without exposing sensitive data.

LightUp.Cloud’s RAG implementation, powered by OpenSearch’s neural search and Bedrock’s FMs, supports hybrid search (lexical and semantic), delivering up to 15% better relevance than keyword-based searches.

Empowering AI Service Providers

LightUp.Cloud’s private vector storage opens new revenue streams for AI service providers. By integrating with LightUp.Cloud’s platform, providers can offer tailored AI services to SMBs, leveraging per-tenant data for:

• Digital Content Sales: Photographers or designers can use LightUp.Cloud to index and sell digital assets (e.g., stock photos, design templates) through AI-driven, branded portfolios. RAG enables semantic searches, helping clients find content like “sunset landscapes” without exact keywords.
• Process Acceleration: Providers can build AI tools to streamline client workflows, such as automating document summarization for journalists or generating compliance reports for healthcare practices, using Bedrock’s FMs and OpenSearch’s vector search.
• Custom AI Solutions: Offer bespoke chatbots or recommendation engines, powered by LightUp.Cloud’s secure, tenant-specific vector storage, ensuring data privacy and compliance.

Unlike competitors like ownCloud ($3,600 for 50 users) or FileCloud ($1,800 for 15 users, 1 TB), LightUp.Cloud’s fixed pricing and 5 times more storage make it cost-effective for providers to scale AI services for SMBs.

Benefits for End Users

End users—architects, photographers, journalists, and SMBs—gain significant advantages from LightUp.Cloud’s private vector storage and AI indexing:

• Private AI Indexing: Content is indexed into vectors within a secure, per-tenant environment, ensuring sensitive data (e.g., patient records, investigative reports) remains private and compliant.
• Enhanced Search: Semantic search powered by OpenSearch allows users to find content using natural language queries, like “find architectural plans with sustainable materials,” improving efficiency.
• Scalable and Fast: LightUp.Cloud’s Erlang-based architecture and AWS CDK deployment ensure high-speed access (up to 10 Gbit/s) and scalability for large datasets, like HD videos or 3D models.
• Customizable Retention: Users control how long data is retained, with recoverable archives preventing accidental loss, ideal for long-term projects or compliance needs.

Start leveraging private vector storage with LightUp.Cloud.

Why LightUp.Cloud Stands Out

LightUp.Cloud’s integration of OpenSearch and Bedrock, combined with its Erlang-based, AWS CDK-deployable platform, sets it apart from competitors like Seafile Pro ($720 for 10-249 users) or Pydio ($3,600 for 100 users). These platforms often lack private vector storage or AI capabilities, focusing on generic storage rather than tailored AI solutions. LightUp.Cloud offers:

• 10 times faster performance and 5 times more storage at a fixed price.
• Secure, per-tenant data isolation for compliance and privacy.
• Flexible deployment (managed or self-managed) via AWS CDK.
• Support for 30.2 million SMBs in the USA and 24.7 million in the EU, addressing their unique AI and storage needs.

Ready to empower your AI services or index your content privately? Get started with LightUp.Cloud and unlock the power of private vector storage today.