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
Blog
Stay up to date on the latest Vectorize launches and case studies.
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
Designing Agentic AI Systems, Part 3: Agent to Agent Interactions
The article discusses creating uniform interaction models in modular agentic systems for effective request dispatching among agents and subagents.
Chris Latimer
Designing Agentic AI Systems, Part 2: Modularity
The article looks at the benefits of modularity in agentic systems, enhancing clarity, maintainability, and reducing complexity.
Chris Latimer
Designing Agentic AI Systems, Part 1: Agent Architectures
This guide outlines how to create efficient agentic systems by focusing on three layers: tools, reasoning, and action. Each layer presents unique chal...
Chris Latimer
Creating a context-sensitive AI assistant: Lessons from building a RAG application
At Vectorize, we want to make it fast and easy for our users to create retrieval-augmented generation (RAG) pipelines to power their AI applications. ...
Chris Bartholomew