Skip to content
#

document-qa

Here are 22 public repositories matching this topic...

An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.

  • Updated Jul 25, 2025
  • Python

Successfully developed a Multi-Domain AI Personal Assistant using LangChain, OpenAI, and Streamlit. The application seamlessly integrates multiple specialized capabilities, including document-based question answering (QA), Python code execution, debugging, explanation and optimization, web search, latest news retrieval, and currency conversion.

  • Updated May 2, 2025
  • Python

Improve this page

Add a description, image, and links to the document-qa topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the document-qa topic, visit your repo's landing page and select "manage topics."

Learn more