Vectorize is a next-generation data platform built specifically for retrieval augmented generation (RAG). It empowers AI agents with structured, accurate, and always-fresh data by combining advanced RAG evaluation tools with a cloud-scale pipeline engine. Instead of bolted-on integrations and brittle workflows, Vectorize delivers a seamless process that populates vector databases, optimizes embedding strategies, and ensures retrieval precision at scale.
With the launch of Vectorize 2.0, the platform introduces some of its most requested features: hosted no-code chat agents, one-line chat widget integration, remote MCP support for Claude and Cursor, and real-time pipelines for continuous syncing. Its Iris vision model unlocks multimodal document processing, extracting data from complex layouts, tables, charts, and images while preserving relationships and context. Multilingual support across 50+ languages further makes Vectorize a global solution for AI-driven information access.
For developers and enterprises alike, Vectorize provides an agent-first approach to retrieval, ensuring that AI systems get the right data, at the right time, without noise or guesswork. Custom metadata filters, re-ranking, query rewriting, and benchmark testing give teams complete control over performance and accuracy. Whether powering enterprise knowledge assistants, legal research tools, or customer-facing chatbots, Vectorize transforms unstructured content into structured intelligence that agents can trust.
