AIGuruKul

Empowering minds to learn, develop and grow together.

What is Vision of AIGuruKul?

To build a collaborative, personalised and experiential learning ecosystem for emerging AI technologies.

SPEEKAR

Keyword Augmented Retrieval (KAR):
Novel framework for Information Retrieval integrated with speech interface

RAGBOT-EXTENSIONS-LLAMAINDEX

check out this project on GitHub

RAGBOT-OPENSOURCE-COMPARISON

check out this project on GitHub

VIDYARANG

Platform demo

Want to learn how to use our VidyaRANG platform ? Watch this video our team has created.

Indic language demo

Did you know VidyaRANG accepts different indic languages in the prompt ? Check it out in the video our team has created.

VidyaRang - for Doctors, Every Surgeons Buddy

Did you know VidyaRANG accepts 50 Pages long documents? Check it out in the video our team has created.

Summary Creation using Gen AI

Now you can convert PDF to Summary. Check it out in the video our team has created.

MEET THE TEAM

Applied Science Team

Mr.Kush Juvekar

Mr.Tanmay Singewar

Full Stack Development Team

Mr.Chitranshu Harbola

Mr.Viswanadha Sai

Modal evaluation and testing

Mr.Levish Bhoyar

Mr.Makarand Tighare

Ms. Shalaka Deshpande

Mr. Nishchit Soni

Mentors

Mr.Anupam Purwar

Researcher | Author | Mentor

See Profile

Prof.Sainath Bitragunta

Associate Professor | Mentor

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Ms.Supriya Naik

Director Generative AI Products | Mentor

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Mr.Rahul Sundar

Scientist (AI/ML)

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Graduates

Mr.Gautam Balakrishnan

Mr.Imandi Sai Ganesh

RESEARCH PAPERS

These are the papers that we are currently working on or have been published by our team

Keyword Augmented Retrieval research paper(PDF)

COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval(PDF)

Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability

Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model

VidyaRANG: Conversational Learning Based Platform powered by Large Language Model

Introducing a new hyper-parameter for RAG: Context Window Utilization

Our Testimonials

AiGurukul community has been a great platform to gain a real world experience on how a team works in collaboration and how a product is built efficiently and in scale. Mentors are highly focused and priorities issues faced by students and provide effective solution.

Any Questions or Comments?

AIGuruKul

BITS Pilani - Pilani Campus, Rajasthan, India

Indian School of Business, Hyderabad, India

vidyarang.ai@gmail.com