Basic retrieval isn't enough. Your agents need structured metadata, precise filtering, and intelligent context engineering to complete complex tasks. Ship agentic workflows in days, not months.
End-to-End AI Data Infrastructure
Stop stitching together disparate tools. Vectorize context engineering pipelines handle document ingestion, processing, vectorization, and retrieval, all optimized for how AI agents actually work.
Vectorize Iris
Multi-column layouts. Embedded tables. Confusing formatting. Iris cuts through it all to produce structured Markdown with precision, and it's available inside every context engineering pipeline.
Product manuals, research reports, technical docs. Vectorize Iris handles dense layouts, embedded diagrams, and multi-column text.
Preserve semantic structure. Keep related content grouped so agents get full context, not fragments.
Extract structured metadata using your own schema. Enable agents to filter, reason, and retrieve with precision.
Optimize chunking and metadata for how your agents actually retrieve. Build with real usage in mind, not guesses.
Context engineering-as-a-service has deep research on private data built right in. This transforms your entire knowledge base into comprehensive intelligence reports in minutes. Uncovering insights that would take analysts weeks to find.
Report ready in 2 minutes 34 seconds
📊 Executive Summary
📈 Market Position Analysis
🎯 Competitive Landscape
💡 Strategic Recommendations
Create custom report structures that ensure consistency across all your research. From sales reports to competitive analysis.
Integrate with n8n to trigger reports on schedules, distribute to stakeholders, and incorporate into your business processes.
Combine your private data with web research for complete context. All while keeping your confidential information secure.
Context engineering only works if your data is retrieval-ready. Vectorize gives you the tools to extract structure, preserve context, and build reliable pipelines. Without the complexity.