We’ve just launched Vectorize 2.0 on Product Hunt! 🚀 This release brings together everything our users have been asking for: faster setup, fresher data, and more flexible connections. With Vectorize 2.0, you can create and deploy complete AI agents without the glue code — agents that aren’t just connected to your data, but stay up […]
Email is a critical information source for research, compliance, and agentic workflows. With our new Gmail connector, you can now ingest and structure email data just like any other document source — making it available for retrieval, reasoning, and automation. Supported Filters and Configuration The Gmail connector uses OAuth authentication. Once configured, you can filter […]
Turbopuffer is now available as a destination in Vectorize — giving you a way to transform unstructured content into structured, queryable context, and store it in a high-performance vector-native system. Whether you’re building agents that need memory, or orchestrating workflows that rely on structured reasoning, this integration helps you go from raw data to indexed […]
Until now, using meeting data in your Retrieval-Augmented Generation (RAG) pipelines meant exporting transcripts manually or writing custom scripts. With the new Fireflies.ai connector for Vectorize, that changes. You can now connect your Fireflies.ai account and pull meeting transcripts — including summaries and action items — directly into your pipelines. No manual exports. No copy-pasting. […]
At Vectorize, we believe trust isn’t claimed—it’s demonstrated. That’s why we’re excited to share that we’re now SOC 2 Type II compliant: an important milestone in our commitment to keeping your data secure and our systems reliable. What SOC 2 Type II Means SOC 2 (System and Organization Controls) is an industry-standard framework developed by […]
Automatic Metadata Extraction is now available in Vectorize! This powerful addition transforms how you work with documents in your RAG pipelines. This feature allows you to extract structured information from your documents automatically, enhancing your retrieval capabilities and providing more context for your language models. The Challenge of Unstructured Data Organizations deal with vast amounts […]
Until now, integrating Google Drive with your Retrieval-Augmented Generation (RAG) pipelines in Vectorize required setting up a service account. That used to be the only option – not anymore! We’re introducing Google Drive (OAuth) — a more convenient, user-friendly connector that lets you pull files directly from your Drive with just a few clicks. No […]
We’re excited to announce that Vectorize now supports Azure AI Search as a vector database option for your RAG pipelines! This new integration lets you leverage Microsoft’s powerful AI-powered search capabilities directly within your Vectorize workflows—giving you more flexibility and choice when building retrieval-augmented generation (RAG) applications. What is Azure AI Search? Azure AI Search […]
Give your AI assistants secure, real-time access to your organization’s data with the Vectorize MCP Server (Beta)! This is a powerful new capability that enables AI assistants like Claude to securely access and utilize your organization’s data—combining Vectorize’s powerful vector retrieval, text extraction, and deep research capabilities with your own knowledge base. What is the […]
We’re excited to announce the Vectorize API Beta, designed to power agentic applications with automated data ingestion, vector search, structured text extraction, and private deep research. With the Vectorize API, you can: This API enables developers to build autonomous AI-powered apps that understand and retrieve data efficiently. In this guide, we’ll walk through how to […]
