Create RAG-powered pages to get answers from your docs– without coding
Hey folks! I wanted to share one of the latest projects I worked on, called Vectara Portal. It's an application that allows users of our platform (https://vectara.com/) to create shareable pages that let you and other users (privately, if you wish) chat with, search through, or get answers from your documents. This began as a side project resulting from a question over lunch: "How do we put the power of our platform into the hands of users, without requiring them to code?" One hackathon weekend later, plus a few more days' worth of improvements, Portal was born. It's…
In plain words
Vectara Portal is an open-source application that enables users to create shareable pages for searching and asking questions about documents without requiring coding knowledge. Built on the Vectara platform, it allows both creators and other users to chat with and extract answers from uploaded documents, with optional privacy controls. The tool emerged from a hackathon project designed to democratize access to retrieval-augmented generation capabilities for non-technical users.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey folks! I wanted to share one of the latest projects I worked on, called Vectara Portal. It's an application that allows users of our platform (https://vectara.com/) to create shareable pages that let you and other users (privately, if you wish) chat with, search through, or get answers from your documents. This began as a side project resulting from a question over lunch: "How do we put the power of our platform into the hands of users, without requiring them to code?" One hackathon weekend later, plus a few more days' worth of improvements, Portal was born. It's open-source too! Feel free to check out the repo at: https://github.com/vectara/portal
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