Introducing the Vectorize API

The Vectorize API Beta offers a comprehensive set of tools designed to enhance agentic applications through features like automated data ingestion, high-performance vector search, structured text extraction, and private deep research. This API enables developers to build autonomous AI-powered apps that efficiently understand and retrieve data from both structured and unstructured sources. It supports data processing from various document types and facilitates the automation of deep research using a RAG pipeline, which includes functionalities such as query rewriting, metadata filtering, and re-ranking. Developers can integrate these capabilities into applications using Python, Node.js, or any HTTP client. The API allows for the creation and deployment of pipelines for document ingestion and retrieval, leveraging an AI platform and vector database to generate embeddings and store data. Additionally, it provides advanced retrieval techniques and the ability to conduct in-depth private research with optional web search features, making it a powerful tool for generating insights and summaries from both private and external data sources. The Vectorize API is accessible to customers on various plans, with retrieval and extraction features available on the free plan, and it is continuously being improved based on user feedback.