Vectorize

Viewability into the entire pipeline process Modularity of the building process Customizability of the process

I had been searching for a way to create my own custom AI chatbot for my company with our knowledge base and document data. I wanted to be able to maintain ownership of that data, and avoid paying exorbitant fees for tools like Guru, or starting things from scratch with libraries from Github. With so many options on how to approach this problem, I found out about Vectorize while browsing Reddit and learning about RAG. I was able to get started for free and created a RAG pipeline in Vectorize with very little effort, and signed up for Pinecone (also free) to store the data. After about an hour, I had everything up and running. They have tons of great connectors already for source data (I am using Firecrawl and Google Docs). I referenced Vectorize's documentation and also started a live chat with their helpful team. Testing was also super simple with their built-in "RAG Sandbox" feature that allowed me to speak directly to the RAG db without deploying any code. Fast forward 3-4 more hours, I integrated the pipeline I created in Vectorize to our company Slack and Zendesk instances via Pipedream. The results have been overwhelmingly positive, and this pipeline is automatically updating weekly with new/updated content. I simply cannot recommend this product enough to anyone looking to get a custom RAG solution up and running without burning too much time in the nitty gritty details, while still maintaining total control over the process and data.

When setting up RAG, I focus mainly on three things: how easy is it to set up and maintain, does it have enough flexibility for my needs, and how good is the output. Vectorize does an excellent job on all three.