Announcing Azure AI Search Support in Vectorize
Were excited to announce that Vectorize now supports Azure AI Search as a vector database option for your RAG pipelines! This new integration lets you...
Chris Latimer
Blog
Stay up to date on the latest Vectorize launches and case studies.
Introducing the Vectorize MCP Server: Connect AI Assistants to Your Data
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 t...
Chris Latimer
Introducing the Vectorize API
We’re excited to announce the Vectorize API Beta, designed to power agentic applications with automated data ingestion, vector search, structured text...
Nicolò Boschi
Vectorize Newsletter 2025-03-10
Welcome to the latest Vectorize newsletter! 🎉 Were sharing new features, AI engineering insights, and useful resources to help you build smarter, mor...
Jamie Ferguson
Introducing Deep Research on Your Private Data
Were excited to announce the Beta launch of Deep Research, a powerful new feature in Vectorize that transforms how organizations generate comprehensiv...
Chris Bartholomew
Multiple Sources in RAG Pipelines: Why More is Better
When building a retrieval-augmented generation (RAG) pipeline, one of the most impactful decisions you can make is to incorporate multiple data source...
Chris Bartholomew
Fresh Embeddings, Zero Effort: Vectorize + Weaviate
We’re thrilled to announce Vectorize’s integration with Weaviate! 🎉 Weaviate is an open-source vector database known for its flexibility and built-in...
Jamie Ferguson
Less is More: How Good RAG Design Lets You Use Smaller Language Models
In the race to build better AI applications, theres often an assumption that bigger is better when it comes to language models. However, with careful ...
Chris Bartholomew
Vectorize Newsletter 2025-01-13
Welcome to the first ever Vectorize newsletter! Well be sharing our latest features, technical insights, and community highlights to help you build be...
Jamie Ferguson
Why You Should Always Use a Reranker When Doing RAG
If youre implementing retrieval augmented generation (RAG), theres one crucial component you might be missing: a reranking model. While vector similar...
Chris Bartholomew
Simplify RAG Pipelines with Vectorize + Qdrant
We’re excited to announce that Vectorize now integrates with Qdrant! 🎉 Qdrant combines sophisticated filtering with fast vector search—its a great ch...
Jamie Ferguson
Designing Agentic AI Systems, Part 4: Data Retrieval and Agentic RAG
Up to this point, weve covered agentic system architecture, how to organize your system into sub-agents and to build uniform mechanisms to standardize...
Chris Latimer