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RAG PDF Chatbot

huggingface.coRAG, search & retrieval

PulseGate's liveness check found it on 11 Sep 2026; it is registered on Hugging Face Spaces and has been in the index since 22 Jul 2026. How this is checked

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.

Inferred · not functionally tested

FreeWebSelf-hostedCloud-managed
RAG PDF Chatbot preview
Visit huggingface.co

Overview

4 features

Purpose: Quickly extracting accurate answers with verifiable references from collections of PDF documents.

Inferred · not functionally tested

Audience: researchers

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: free · license: Proprietary · platforms: WEB · deployment: browser, self_hosted, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: huggingface.co. These links do not verify the individual claims.

In the RAG, search & retrieval space, RAG PDF Chatbot takes a focused approach. Inferred · not functionally tested: Quickly extracting accurate answers with verifiable references from collections of PDF documents. Inferred · not functionally tested: RAG PDF Chatbot is a consumer product aimed at researchers. Basis unknown · not verified: RAG PDF Chatbot costs nothing to use. Basis unknown · not verified: It runs on the web, and it can be self-hosted.

Behind RAG PDF Chatbot is MuntasirHossain. Inferred · not functionally tested: Key capabilities include PDF Upload, Retrieval Augmented Generation, and Source Citations.

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

Tasks: Inferred · not functionally tested

  • PDF Upload
  • Retrieval Augmented Generation
  • Source Citations
  • Page References

Topics: Inferred · not functionally tested

Tags
rag-chatbotpdf-qadocument-chatretrieval-augmented-generation
AI capabilities
Text
Inference: Cloud API

JSON profile · Text profile · Access guide

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

Public signals
HTTPSFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed22 Jul · 21:05 UTC
    MuntasirHossain/RAG-PDF-Chatbot seen via Hugging Face Enumerator
    Source: Hugging Face Enumerator · Open

Frequently asked questions about RAG PDF Chatbot

What is RAG PDF Chatbot?
Inferred · not functionally tested: Quickly extracting accurate answers with verifiable references from collections of PDF documents. It is catalogued under RAG, search & retrieval on PulseGate.
Who should use RAG PDF Chatbot?
Inferred · not functionally tested: RAG PDF Chatbot is a consumer product built for researchers.
Does RAG PDF Chatbot have a free plan?
Basis unknown · not verified: Yes — RAG PDF Chatbot is free to use.
What platforms does RAG PDF Chatbot run on?
Basis unknown · not verified: RAG PDF Chatbot runs on the web. It can also be self-hosted.
Is RAG PDF Chatbot still active?
PulseGate's liveness check found it on 11 Sep 2026.
What are alternatives to RAG PDF Chatbot?
Similar projects tracked by PulseGate include PDF RAG AI, PDF Chatbot, and RAG-Chatbot.PDF RAG AIPDF ChatbotRAG-Chatbot
Who develops RAG PDF Chatbot?
RAG PDF Chatbot is developed by MuntasirHossain.

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