What is Vectorize?
Vectorize is a comprehensive platform that simplifies the process of building AI-powered applications with vector search capabilities. It provides automated data extraction, intelligent vectorization strategies, and real-time RAG (Retrieval Augmented Generation) pipelines.
The Problem Vectorize Solves
Building AI applications with vector search involves many complex challenges:
- Complex data extraction from various unstructured sources
- Choosing the right embedding models and chunking strategies
- Managing vector database integrations and updates
- Keeping vector indexes synchronized with source data
- Optimizing retrieval performance and relevance
How Vectorize Works
Key Components
RAG Pipeline Builder
A user-friendly interface that lets you construct scalable RAG pipelines without writing complex code. Simply connect your data sources, configure your processing parameters, and deploy.
RAG Evaluation Engine
Automatically evaluates different RAG strategies to find the optimal configuration for your unique data. Compares embedding models, chunking strategies, and retrieval methods in under a minute.
Advanced Retrieval Endpoint
A built-in retrieval API that handles query vectorization, k-ANN search, query rewriting, re-ranking, and metadata enrichment automatically.
Real-time Synchronization
Monitors your data sources for changes and updates your vector indexes immediately, ensuring your AI applications always have access to the latest information.
Who Should Use Vectorize?
- AI Developers: Building RAG applications, chatbots, or search systems
- Data Teams: Managing large volumes of unstructured data for AI consumption
- Product Teams: Adding AI-powered search and recommendations to applications
- Enterprise: Implementing knowledge management and document search solutions
Getting Started
Vectorize is forever free for individual developers. Create an account to start building your first RAG pipeline in minutes.