2025-07-25 –, Main Room 6
This talk will dive deep into gen ai topics like integrating vector search and RAG with Julia.
In this talk you'll learn how to build a sophisticated RAG chatbot in Julia, focusing on efficiently retrieving and processing information from the DataFrames.jl documentation to generate accurate and contextually relevant responses while using implementations of popular open source vector databases like Milvus for fast retrieval of closely related data.
This talk will dive deep into gen ai topics like integrating vector search and RAG with Julia.
In this talk you'll learn how to build a sophisticated RAG chatbot in Julia, focusing on efficiently retrieving and processing information from the DataFrames.jl documentation to generate accurate and contextually relevant responses while using implementations of popular open source vector databases like Milvus for fast retrieval of closely related data.
Thus helping engineers writing code in Julia to leverage vector search in research
Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development.
He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and has also been a MLH Fellow.
He is actively involved in community work as well. He is a TensorflowJS SIG member, Mentor in OpenMined and CNCF Service Mesh Community, SODA Foundation and has given talks at various conferences like Github Satellite, Voice Global, Fossasia Tech Summit, TensorflowJS Show & Tell.