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Vectorize

Vectorize: Build RAG Applications 10X Faster
Introduction:
Vectorize offers RAG-as-a-Service to help developers build accurate AI applications 10X faster by handling the complex parts of RAG implementation.
Vectorize Product Information

What is Vectorize ?

Vectorize provides RAG-as-a-Service to accelerate AI development by managing data ingestion, vector storage, and retrieval optimization for accurate, powerful applications.

Vectorize's Core Features

End-to-end RAG pipeline management

Optimized vector storage and retrieval

Data ingestion from multiple sources

API-first architecture

Advanced retrieval optimization

Seamless LLM integration

Vectorize's Use Cases

#1

Building AI-powered customer support systems

#2

Creating knowledge management applications with up-to-date information

#3

Developing domain-specific AI assistants

#4

Implementing intelligent document search and analysis tools

#5

Building factual and accurate content generation systems

Vectorize's Pricing

Free: 1 RAG pipeline, up to 1,500 pages/month, automatic vector index syncing, limited vision model processing, community support

Starter: $99/month - 2 RAG pipelines, 15,000 pages/month, unlimited source connectors, pay-as-you-go options, advanced vision model processing, full API support

Pro: $399/month - 3 RAG pipelines, 65,000 pages/month, unlimited source connectors, pay-as-you-go options, performance monitoring, 12x5 support with SLA

FAQ from Vectorize

What is Vectorize?

Vectorize is a RAG-as-a-Service platform that simplifies building Retrieval Augmented Generation applications by handling the complex parts of AI development, allowing developers to focus on their core application.

How does Vectorize work?

Vectorize manages the entire RAG pipeline including data ingestion, vector storage, retrieval optimization, and AI integration, providing developers with APIs and tools to build RAG applications faster.

What is RAG?

RAG (Retrieval Augmented Generation) is an AI technique that enhances large language models by retrieving relevant information from external knowledge sources before generating responses, improving accuracy and reducing hallucinations.

Who can benefit from using Vectorize?

Developers, AI engineers, and companies looking to build AI applications with accurate, up-to-date information without managing complex infrastructure or spending months on RAG implementation.