Vectorize

Vectorize is an AI tool that converts unstructured data into optimally structured vector search indexes. It is designed for Retrieval Augmented Generation, using relevant information to enhance AI task performance.

Vectorize can be applied to various uses, including question answering, AI assistants, call center automation, content creation, and personalized experiences.

The tool employs a three-step workflow: import, experiment, and deploy. During import, users upload documents or connect external knowledge systems for Vectorize to extract natural language for AI applications.

The experiment phase focuses on identifying the best strategies for chunking and embedding. After a vector configuration is selected, it's deployed as a real-time vector pipeline.

This pipeline updates automatically with data changes, ensuring high accuracy. Vectorize natively supports AI platforms such as Hugging Face, Google Vertex, LangChain, AWS Bedrock, OpenAI, Microsoft Azure, Jina AI, Voyage AI, and Mistral AI.

It also automates the creation and updating of vector indexes in the user's preferred vector database. Vectorize automates turning data into AI-ready vectors, which are then stored in a user's chosen vector database.