I will build a rag ai assistant for your documents


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
Data scientist with Masters in AI and Analytics from UBC
- FromCanada
- Member sinceSep 2025
Languages
English
FAQ
What types of documents can you use?
PDFs, DOCX files, web pages, manuals, policies, course materials, and other text-based sources. I’ll confirm format and size before ordering.
Will the assistant cite its sources?
Yes, source citations are included in the Standard and Premium packages when the document structure supports reliable retrieval. The Basic package is a plan only.
Can you build a custom chatbot or app?
Yes. I can create a scoped prototype with a simple chat interface or API. Send your intended users, document types, integrations, and preferred deployment environment so I can confirm the right scope.

