Women Who Build

Name: How AI “Reads” Documents: Design a RAG Pipeline 🤖
Start: 2026-04-21T21:30:00.000Z
End: 2026-04-21T23:00:00.000Z
Location: Women Who Build

5.0•3 ratings

About us

Women Who Build
A community for women learning, building, and growing in tech
--------------------------------------------------------------------------
This is a space for women who want to learn, practice, and grow in a thoughtful, low-ego environment.

We’re kicking things off with a weekly system design study session as our core event, with plans to expand into other technical study formats over time, such as:

algorithms / LeetCode practice
coding / co-working sessions
interview prep
backend and architecture discussions
technical deep dives based on group interest

Who this group is for
This group is for women who are:

Working in tech or transitioning into tech
Engineers preparing for interviews
Developers who want to sharpen their technical thinking
Women who want community while studying or building

You do not need to already be advanced to join.

What to expect
Some sessions will be structured and problem-based, while others may be more relaxed and collaborative.
But across all events, the goal stays the same:
to learn deeply, stay consistent, and get technically stronger together.

What we value

Curiosity over perfection
Collaboration over ego
Clarity over buzzwords
Consistency over intensity

If you’ve been looking for a grounded, welcoming technical community, you’re very welcome here.

Featured event

7 seats left

How AI “Reads” Documents: Design a RAG Pipeline 🤖

Tue, Apr 21 · 5:30 PM EDT

Women Who Build, 1200 rue de sussex, Montreal, QC, CA

Generative AI is transforming how we interact with data, but how do these systems actually work under the hood?

In this interactive session, we will tackle one of the most common architectures in modern AI: Retrieval-Augmented Generation (RAG).
We will design the backend infrastructure that allows a chatbot to "read" private documents (like PDFs or company wikis) and accurately answer user questions based on that text.
We’ll walk through how PDFs and text files are processed, chunked, transformed into embeddings, and stored for fast retrieval.

Agenda (90 Minutes):

15 mins: Introductions and scoping the requirements (identifying scale, latency, and constraints).
40 mins: High-Level Design (drawing the happy path from client to database and back).
20 mins: Deep Dive (exploring bottlenecks, edge cases, and specific database choices).
15 mins: Wrap-up, Q&A, and networking.

Perfect for anyone curious about system design, backend engineering, or AI systems.
*No prior experience with RAG required*