Vectorize! Overview
Vectorize (Vectorize.io) is a platform for building retrieval-augmented generation (RAG) pipelines and vector search for AI applications, aimed at developers working with large language models. RAG is the technique of giving an AI model relevant context from your own data at query time, and Vectorize provides the tooling around that workflow: connecting to data sources, processing and chunking documents, generating vector embeddings, and storing them in a vector database so they can be searched by meaning. It supports a choice of embedding models and integrates with popular vector databases and AI services, and it offers features for keeping data up to date, evaluating retrieval quality, and deploying pipelines into production. By handling the moving parts of data ingestion, embedding, and retrieval, Vectorize helps teams build AI assistants and search experiences grounded in their own content. It is offered as a cloud platform with plans based on usage. This page links to the official Vectorize source.
