---
title: "Discussion on \"Stop Building PDF Chatbots That Hide the Evidence\" | Hashnode"
description: "Discussion on \"Stop Building PDF Chatbots That Hide the Evidence\". Most “chat with your PDF” demos feel magical for about thirty seconds.\nYou upload a document, ask a question, and get back a smooth answer in natural language. It looks useful. It looks intelligent. A"
url: "https://hashnode.com/posts/stop-building-pdf-chatbots-that-hide-the-evidence/69d49763d0d88518968933a9"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [Stop Building PDF Chatbots That Hide the Evidence](https://tokenbytoken.hashnode.dev/stop-building-pdf-chatbots-that-hide-the-evidence?utm_source=hashnode&utm_medium=feed)

Most “chat with your PDF” demos feel magical for about thirty seconds. You upload a document, ask a question, and get back a smooth answer in natural language. It looks useful. It looks intelligent. A

Apr 7 · 7 min read · tokenbytoken.hashnode.dev  
Read the article

-   [#opensource](https://hashnode.com/tag/opensource)
-   [#rag](https://hashnode.com/tag/rag)
-   [#retrieval-augmented-generation](https://hashnode.com/tag/retrieval-augmented-generation)
-   [#ai](https://hashnode.com/tag/ai)
-   [#llm](https://hashnode.com/tag/llm)
-   [#multimodalai](https://hashnode.com/tag/multimodalai)

## Written by

[Sai Sandeep Kantareddy](https://hashnode.com/@skantar1)

@skantar1

  
[View profile](https://hashnode.com/@skantar1)

Engineer

Senior ML Engineer | GenAI + RAG Systems | Fine-tuning | MLOps | Conversational & Document AI Building reliable, real-time AI systems across high-impact domains — from Conversational AI and Document Intelligence to Healthcare, Retail, and Compliance. At 7-Eleven, I lead GenAI initiatives involving LLM fine-tuning (Mistral, QLoRA, Unsloth), hybrid RAG pipelines, and multimodal agent-based bots. Domains I specialize in: Conversational AI (Teams + Claude bots, product QA agents) Document AI (OCR + RAG, contract Q&A, layout parsing) Retail & CPG (vendor mapping, shelf audits, promotion lift) Healthcare AI (clinical retrieval, Mayo Clinic work) MLOps & Infra (Databricks, MLflow, vector DBs, CI/CD) Multimodal Vision+LLM (part lookup from images) I work at the intersection of LLM performance, retrieval relevance, and scalable deployment — making AI not just smart, but production-ready. Let’s connect if you’re exploring RAG architectures, chatbot infra, or fine-tuning strategy!

## Responses

Markdown supported · ⌘↵ to post

No responses yet.