Vectorize
What is Vectorize ?
Vectorize automates the process of converting unstructured data from various sources into searchable vectors for use in LLM-powered, generative AI applications.This enables organizations to quickly and efficiently use their existing data to support Retrieval Augmented Generation (RAG) applications.
With Vectorize, you can build better RAG pipelines, prompt engineering, and retrieval augmented generation.By leveraging collective knowledge and content management, Vectorize allows you to create productivity-enhancing copilots and innovative customer experiences.
Importing and uploading documents is made easy, and you can connect external knowledge management systems to extract natural language using large language models.Vectorize supports a variety of AI platforms and provides built-in connectors to popular knowledge repositories and collaboration tools.
Vectorize's Use Cases
Enhance RAG applications by efficiently converting unstructured data into searchable vectors..
Improve prompt engineering by utilizing vectorized data for more accurate and diverse prompts..
Optimize content management systems by integrating Vectorize to support productivity-enhancing copilots and innovative customer experiences..
FAQ from Vectorize
What can Vectorize do in brief?
- Vectorize automates converting unstructured data into searchable vectors for LLM-powered, generative AI apps, supporting Retrieval Augmented Generation (RAG). Build better RAG pipelines, prompt engineering, and content management for productivity-enhancing copilots and innovative customer experiences.
How can I get started with Vectorize?
- Getting started with Vectorize is easy! Simply visit the official website and sign up for an account to start.
Can I use Vectorize for free?
- Vectorize uses a Waitlist pricing model
Who is Vectorize for?
- The typical users of Vectorize include:
- It specialists
- Software developers
Where can I find Vectorize on social media?
- Follow Vectorize on social media to stay updated with the latest news and features: