RAG: LLMs with your data

Opening stream of the Hackathon to onboard you in the Hackathon rules, technology and guide through your Hackathon journey.

Hackathon Kick-Off

Please note, the time of the session may be changed. Follow the announcements via email and in the Discord channel.

Vectara Workshop: learn the technology and get started with your project!

Anyscale Introduction

Join us and experience the excitement as you actively engage in our dynamic panel discussion on RAG. This captivating discussion will be expertly moderated by Ofer Mendelevitch from Vectara. 

RAG Panel Discussion

General Q&A session on Discord

Join the Talk to improve your applications UI!

The importance of UI for developing RAG applications

Join Forrest Bao and Ofer Mendelevitch for the discussion of the latest Vectara's release and make the most of it for your Hackathon submission!

Vectara New Feature Announcement For Hackathon Participants

Hackathon Submission Deadline

https://github.com/arguflow/arguflow

The best in class solution for building GenAI products.

Arguflow

skeptrune

fastfists

This is the Arguflow team’s submission to the “best contribution to vectara-ingest” part of the hackathon. We really admire the work that has gone into this repository, and want to start a trend of making it compatible with more varied services.

This PR adds support for Arguflow to the crawler such that users are able to add documents/chunks to Arguflow, Vectara, or both.

Internally, we were motivated to add this support so that we can stand up more Arguflow demos by using the crawlers, however, we are PR’ing it because we think it can also offer Vectara users value.

Arguflow has support for a few things that Vectara does not which users may desire:

self-host option for E2E data ownership
support for arbitrary LLM’s and text-embedding models
RAG options beyond summarization (both fully managed and search-before-generate)
enhanced duplicate detection beyond UPSERT

Arguflow also ships with a default search and chat UI in addition to its OpenAPI spec which makes it a bit easier to get going with a deployment you can share and reverse-engineer to build your own applications.

This repository is great, and we really admire @ofermend’s work on it especially. Excited to enhance it and bring it more into the lens of the open source AI world! We also edited the documentation in all the right places, let us know if may have missed a few spots.

Happy to address any review comments or change requests in a timely manner.

Add support for Arguflow to the crawler such that users are able to add documents/chunks to Arguflow, Vectara, or both.

"Arguflow team on RAG: LLMs with your data Hackathon"

Team Idea

Submission