langchain-ask-pdf and langchain-pdf-qa

Both implement the same LangChain-based RAG pattern for PDF question-answering using OpenAI LLMs, making them direct competitors offering functionally equivalent solutions with different code bases rather than complementary tools.

langchain-ask-pdf
43
Emerging
langchain-pdf-qa
30
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 9/25
Community 14/25
Stars: 631
Forks: 316
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 28
Forks: 5
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 langchain-pdf-qa

m-star18/langchain-pdf-qa

Use langchain to create a model that returns answers based on online PDFs that have been read.

Scores updated daily from GitHub, PyPI, and npm data. How scores work