GoFr - SOC : End to End RAG Implementation #1985
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Hey everyone! Super excited to be part of the GoFr AI Track! I'm Aarushi Singh (@The-AarushiSingh), and I’d love to take up: 🔹 OpenAI integration (LLM + Embeddings) Please let me know if someone else has already picked these ,happy to coordinate and adjust. |
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Hi everyone. I'm Krishna, really excited to be working with all of you. Let’s make this awesome. |
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@krikera @googlieyeye @The-AarushiSingh @up1 , Hey Guys ! Sorry for the delay. I would like all of you to decide two people who would like to work on LLM integrations and two who would like to work on vector DB integrations .... We will decide the specific LLM & vector DB after this is finalised ..... The decisions in the comments please ! |
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@krikera @googlieyeye @The-AarushiSingh @up1 , Next task guys is to carefully understand the file interface and their implementation across s3, local file system, ftp and sftp. We are going to follow a similar approach in this case also. Drop all your doubts regarding the same by tomorrow. Here is what you need to check out : https://gofr.dev/docs/advanced-guide/handling-file Here is the code also : |
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Here is the link to the proposed AI interface for end to end RAG Pipeline with any kind of LLM + vector combination in GoFr.
https://docs.google.com/document/d/1Swdkl18AJrih2VRY5-ZyKTW0mft-pYIkn1J05iYqZA8/edit?usp=sharing
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