Over the past six months, we’ve met hundreds of developers that are using Python to build AI chat apps for their own knowledge domains, using the RAG (Retrieval Augmented Generation) approach to send chunks of knowledge to an LLM model along with the user question.
We’ve also heard from many developers that they’d like to learn how to build their own RAG chat apps, but they don’t know where to start. So we’re hosting a virtual hackathon to help you learn how to build your own RAG chat app with Python!
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From January 29th to February 12th, we’ll host live streams showing you how to build on our most popular RAG chat sample repository, while also explaining the core concepts underlying all modern RAG chat apps. Live stream topics will include vector search, access control, GPT-4 with vision. We’re hoping to get developers from all over the world involved, so we’ll also have live streams in Spanish, Portuguese, and Chinese. There will be prizes for the best chat apps, and even a prize for our most helpful community member.
To learn more, visit the AI Chat App Hack page, and follow the steps there to register and meet the community. Hope to see you there!
More RAG resources for Python developers
If you’re interested in learning more about RAG chat apps but can’t join the hack, here are some resources to get you started:
The fourth link under resources Using Llamaindex with Azure AI Search has a 404 error.
Thanks, fixed! https://docs.llamaindex.ai/en/stable/examples/vector_stores/CognitiveSearchIndexDemo.html
Hi Pamela, how can we attend the live sessions? I registered but did not receive any information on how to join the online sessions.
All the sessions are linked from: https://github.com/microsoft/AI-Chat-App-Hack?tab=readme-ov-file
I’ve asked if we can send email reminders/links. Thanks for asking!
Thank you, I appreciate the prompt response.