RAG Knowledge Assistant
In ProgressBuilding a retrieval-augmented assistant that can answer questions from a private document collection.
I’m documenting my journey into AI engineering by building, experimenting, and sharing what I learn across AI, data, analytics, and intelligent systems.
Built by Srikanth · Personal technology platform
My evolving platform for documenting projects, experiments, and lessons as I move deeper into AI engineering.
See the full build story →Small experiments, working prototypes, and technical questions I’m exploring as I build deeper capability in AI engineering.
Building a retrieval-augmented assistant that can answer questions from a private document collection.
Testing chunking strategies, embedding approaches, similarity search, and retrieval quality across different documents.
Testing prompt patterns, tool use, workflow design, and agent behaviors through small focused experiments.
Notes, explanations, and lessons from what I’m learning, building, and testing across AI, data, and intelligent systems.
A step-by-step breakdown of how retrieval-augmented generation systems actually work in practice.
Read insight →A practical perspective on what carries forward from enterprise data and BI—and what requires a different mindset.
Read insight →The projects, mistakes, experiments, and lessons behind documenting this transition while it is still happening.
Read insight →AI is not a reset. It is the next layer in a journey shaped by enterprise systems, data, analytics, platforms, and decision-making.
Building and operating enterprise platforms taught me how technology behaves under real-world complexity.
Data platforms, reporting, and analytics shifted my focus from running systems to understanding what they reveal.
The work became less about presenting metrics and more about helping people make better, faster, more informed decisions.
I’m now extending that foundation through Python, RAG, agents, evaluation, automation, and modern AI architectures.
VonticAI is where I document that progression through projects, experiments, technical notes, and lessons learned.
Projects, experiments, notes, and lessons as I continue learning and building across AI, data, and intelligent systems.