Skip to main content

What is Vectorize

Vectorize is an agentic data platform that helps organizations build accurate, reliable AI applications by solving the fundamental challenge of connecting AI to your company's knowledge.

The Problem We Solve​

When building AI applications like chatbots, AI agents, or automated workflows, the biggest challenge isn't the AI itself. It's ensuring the AI has access to accurate, up-to-date information from your organization's documents, databases, and knowledge repositories.

Without proper data infrastructure, AI systems:

  • Hallucinate or provide incorrect information
  • Can't access your latest documentation
  • Struggle with complex documents containing tables, images, and diagrams
  • Require extensive manual setup and maintenance

How Vectorize Works​

Think of Vectorize as the bridge between your data and your AI applications. We handle the complex process of making your information AI-ready through three key steps:

1. Smart Data Processing​

We connect to your existing data sources (Google Drive, Confluence, databases, etc.) and intelligently process your documents, including PDFs with complex layouts, technical diagrams, and tables, into a format that AI can understand and search effectively.

2. Continuous Synchronization​

Your data stays fresh automatically. When documents are updated, added, or removed from your sources, Vectorize reflects these changes in real-time, ensuring your AI always has the latest information.

3. Optimized Retrieval​

When your AI application needs information, we ensure it gets the most relevant, accurate content every time through advanced search capabilities, metadata filtering, and relevancy scoring.

Key Capabilities​

RAG Evaluations​

Test different AI configurations on your actual data before writing any code. We automatically evaluate various embedding models, chunking strategies, and retrieval methods to find what works best for your specific content.

RAG Pipelines​

Connect to your data sources and keep your AI knowledge base synchronized. Our pipelines handle:

  • Document extraction from multiple sources
  • Intelligent chunking that preserves context
  • Metadata extraction for precise filtering
  • Automatic updates when source data changes

Advanced Retrieval​

Go beyond basic search with features designed for production AI applications:

  • Query rewriting for better context understanding
  • Relevancy scoring and filtering
  • Hybrid search combining keywords and semantic understanding
  • Custom metadata schemas for domain-specific needs

What Makes Vectorize Different​

1. Data-Driven Approach​

Instead of guessing which AI configuration will work best, we test multiple approaches on your actual data and show you quantitative results before you build anything.

2. Enterprise-Grade Architecture​

Built with guaranteed message delivery and fault tolerance, Vectorize ensures data consistency and reliability at scale. We're SOC 2 Type 2 compliant and support flexible deployment options.

3. Complex Document Handling​

Our Iris vision model excels at extracting information from challenging documents with tables, diagrams, images, and complex formatting that other solutions struggle with.

Use Cases​

  • AI Agents: Provide agents with accurate, up-to-date knowledge from your organization
  • Enterprise Search: Enable semantic search across all your company documentation
  • Customer Support: Power chatbots with your latest product documentation and support materials
  • Knowledge Management: Automate the process of keeping AI systems synchronized with your evolving knowledge base

Getting Started​

Vectorize offers a free tier to explore the platform. You can test document extraction, evaluate different configurations on your data, and build your first RAG pipeline without any upfront commitment.

For enterprise deployments, we support:

  • Cloud deployment with our managed infrastructure
  • Bring your own database and embedding models
  • Full deployment within your own cloud environment

Was this page helpful?