Who should use RAG PDF Chatbot?

RAG PDF Chatbot is a consumer product built for researchers.

Does RAG PDF Chatbot have a free plan?

Yes — RAG PDF Chatbot is free to use.

What platforms does RAG PDF Chatbot run on?

RAG PDF Chatbot runs on the web. It can also be self-hosted.

Is RAG PDF Chatbot still maintained?

Unverified. RAG PDF Chatbot has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to RAG PDF Chatbot?

Similar projects tracked by PulseGate include PDF RAG AI, PDF Chatbot, and RAG-Chatbot.

Who develops RAG PDF Chatbot?

RAG PDF Chatbot is developed by MuntasirHossain.

How long has RAG PDF Chatbot been around?

RAG PDF Chatbot first shipped in 2024.

Back to the index

RAG PDF Chatbot

Name: RAG PDF Chatbot
Author: MuntasirHossain

huggingface.coAI & ML

RAG PDF Chatbot is a Hugging Face Space that implements retrieval-augmented generation over uploaded PDF files. After processing one or more documents, users can ask natural language questions. The system returns answers along with the exact source text and page numbers where the information was found.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

4 features

In the AI & ML space, RAG PDF Chatbot takes a focused approach. Quickly extracting accurate answers with verifiable references from collections of PDF documents. RAG PDF Chatbot is a consumer product aimed at researchers. RAG PDF Chatbot costs nothing to use. It runs on the web, and it can be self-hosted.

Behind RAG PDF Chatbot is MuntasirHossain, and it first shipped in 2024. Key capabilities include PDF Upload, Retrieval Augmented Generation, and Source Citations.

Summary written by a language model from the project’s public pages.

PDF Upload
Retrieval Augmented Generation
Source Citations
Page References

Built with & integrations

Hosting

AWS

AI providers

meta_llamalocal_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML
meta_llama: llama- in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed22 Jul · 21:05 UTC
MuntasirHossain/RAG-PDF-Chatbot verified against its public source
Source: PulseGate · Open

Frequently asked questions about RAG PDF Chatbot

What is RAG PDF Chatbot?: Quickly extracting accurate answers with verifiable references from collections of PDF documents. It is catalogued under AI & ML on PulseGate.
Who should use RAG PDF Chatbot?: RAG PDF Chatbot is a consumer product built for researchers.
Does RAG PDF Chatbot have a free plan?: Yes — RAG PDF Chatbot is free to use.
What platforms does RAG PDF Chatbot run on?: RAG PDF Chatbot runs on the web. It can also be self-hosted.
Is RAG PDF Chatbot still maintained?: Unverified. RAG PDF Chatbot has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to RAG PDF Chatbot?: Similar projects tracked by PulseGate include PDF RAG AI, PDF Chatbot, and RAG-Chatbot.PDF RAG AI PDF Chatbot RAG-Chatbot
Who develops RAG PDF Chatbot?: RAG PDF Chatbot is developed by MuntasirHossain.
How long has RAG PDF Chatbot been around?: RAG PDF Chatbot first shipped in 2024.

At a glance

Pricing: Free
Platforms: Web
Languages: English
Built for: researchers
Model: B2C
Solves: Quickly extracting accurate answers with verifiable references from collections of PDF documents.

Registered as

Hugging Face Spaces: MuntasirHossain/RAG-PDF-Chatbot

Developer

MuntasirHossain

Live coverage

Identity confidence: High · 89
Indexed: 22 Jul 2026
Lifecycle: Alive
Last seen: 22 Jul 2026

Identity audit (13)

Slug: muntasirhossain-rag-pdf-chatbot-huggingface-co
Lifecycle state recorded: 22 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 22 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 24 Jul 2026
Canonical URL: https://huggingface.co/spaces/MuntasirHossain/RAG-PDF-Chatbot

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