Retrieval for Your App, Simplified

Retrieval Augmented Generation (RAG) is a technique that enhances LLMs by providing them with relevant information from your documents before they generate responses. This allows your AI to access up-to-date, domain-specific knowledge without retraining. Oxygen handles the entire RAG pipeline—document processing, embedding, storage, and retrieval—so you can focus on building great user experiences.

Oxygen features premium AI-powered document parsing that produces LLM-friendly markdown output. We support all major document formats including PDFs, PowerPoint presentations, Word documents, HTML, XML, and more. Our state-of-the-art parsing capabilities include:

• Advanced table extraction that preserves structure and relationships
• Intelligent image extraction with contextual descriptions
• Multi-language support for global content
• Perfect markdown conversion for optimal LLM compatibility
• High-fidelity OCR for scanned documents

Security is our top priority. All data is encrypted both in transit (TLS 1.3) and at rest (AES-256) using industry-standard encryption. Our multi-tenant architecture ensures complete isolation between your customers' data. We maintain strict access controls and regular security audits. We also offer data residency options for companies with specific geographic requirements.

Oxygen provides RESTful APIs and SDKs for JavaScript, Python, Ruby, Java, and Go. You can easily query your customers' documents and use the results as context for your LLM calls (OpenAI, Anthropic, Cohere, or your own models). Our API returns both the relevant text chunks and metadata about the source documents. We also offer webhooks for event-driven architectures and support for popular frameworks like Langchain and LlamaIndex.

Our hybrid search technology combines semantic (vector) search with keyword-based approaches for superior accuracy. We use advanced chunking strategies that preserve document context and structure. Our premium AI parsing ensures your documents are converted into perfect markdown format with preserved tables, images, and multi-language support - making them ideal for LLM processing. Our system automatically handles document updates, versions, and metadata extraction. Building these capabilities in-house would take months of engineering time and ongoing maintenance, while Oxygen gives you production-ready RAG capabilities in minutes.

Absolutely! Our document uploader component is fully customizable with your brand colors, typography, and logo. You can control which file types are accepted, maximum file sizes, and user permissions. The component is responsive and works on all devices. For even deeper customization, you can use our headless API with your own custom UI.

Our pricing is based on the number of documents processed and queries performed each month. All plans include our core features, with higher tiers offering more capacity and additional features. We offer transparent pricing with no hidden fees. If you approach your plan's limits, we'll notify you so you can upgrade if needed. For high-volume needs, please contact our sales team for custom enterprise pricing.

Most customers are up and running with Oxygen in less than a day. Sign up for an account, get your API keys, add our document uploader to your app with a few lines of code, and start processing documents. Our comprehensive documentation, code examples, and starter templates make integration straightforward. Our support team is also available to help you with any questions during implementation.