I will build a rag ai assistant for your documents

A
alaud01
A
alaud01
Atharva L

About this gig

Need an AI assistant that can answer questions from your PDFs, manuals, policies, or course materials? I build practical Retrieval-Augmented Generation (RAG) prototypes that ground answers in your documents and can cite the source passages.


What I can build:

- Document ingestion and chunking

- Semantic search and retrieval

- Grounded answer generation with citations

- A simple chat interface or API

- Evaluation questions and setup documentation


Packages:

- Feasibility Plan: recommended architecture, stack, and roadmap

- RAG Prototype: a working assistant for one document set

- Tested Assistant: citations, evaluation, deployment guidance, and handoff documentation


My recent work includes Orqa, an education platform using RAG and agentic workflows, and Jarvis, a local-first assistant with document, web, voice, browser, and Notion integrations. I define scope clearly and explain what is included before implementation.


To get started, send:

1. A short description of your documents and users

2. The desired answer behavior and interface

3. Preferred tools or deployment constraints


Message me before ordering so I can confirm feasibility and recommend the right package.

Get to know Atharva L

Atharva L

Data scientist with Masters in AI and Analytics from UBC

  • FromCanada
  • Member sinceSep 2025
  • Languages

    English
A new master's graduate with plenty of experience working with numbers. I have worked on projects relating to: - Finance - Healthcare - 3D Physics - LLMs in EduTech My goal is simple: you get a working solution, I get to deepen my craft. All my work can be seen on: www.atharvalaud.com Please feel free to contact me if you would like to learn more about me or my work.