langchain-ask-pdf and PDF_Based_Chatbot_AI

Both are independent implementations of the same LLM-powered PDF question-answering architecture using LangChain, making them direct competitors rather than complementary tools or ecosystem components.

langchain-ask-pdf
43
Emerging
PDF_Based_Chatbot_AI
28
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 0/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 631
Forks: 316
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 10
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About langchain-ask-pdf

alejandro-ao/langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

Implements semantic search over PDF content by chunking text and using OpenAI embeddings to retrieve contextually relevant sections before feeding them to the LLM, preventing hallucinations on out-of-scope questions. Built with LangChain for orchestration and Streamlit for the web interface, it constrains model responses to document-grounded answers only.

About PDF_Based_Chatbot_AI

Amanastel/PDF_Based_Chatbot_AI

Developed a web app using LLM models, Langchain, and chatbots for PDF interactions. Users upload PDFs and ask questions, receiving instant chatbot responses for efficient content retrieval.

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