paper-qa and FinancialQA-Assistant

paper-qa

Verified

FinancialQA-Assistant

Experimental

Maintenance 13/25

Adoption 12/25

Maturity 25/25

Community 20/25

Maintenance 10/25

Adoption 3/25

Maturity 15/25

Community 0/25

Stars: 8,264

Forks: 838

Downloads: —

Commits (30d): 3

Language: Python

License: Apache-2.0

Stars: 4

Forks: —

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

No risk flags

No Package No Dependents

About paper-qa

Future-House/paper-qa

High accuracy RAG for answering questions from scientific documents with citations

This tool helps researchers, scientists, and academics quickly find precise answers within a collection of scientific documents, such as PDFs or text files. You feed it your papers, and it provides accurate answers to your questions, complete with in-text citations to the original sources. This is ideal for anyone needing to extract specific information from a large volume of research literature.

scientific-research literature-review academic-writing information-extraction research-synthesis

About FinancialQA-Assistant

Amaan-developpeur/FinancialQA-Assistant

A lightweight, local Retrieval-Augmented Generation (RAG) system for domain-specific Q&A over financial documents. Uses pdfplumber for PDF parsing, sentence-transformers for dense retrieval, and optionally connects to local LLMs (e.g., Ollama + Mistral). Runs on FastAPI with a custom frontend.

Related comparisons

paper-qa and Local_Pdf_Chat_RAG paper-qa and document-qa paper-qa and rag-qa paper-qa and Paper-Snap paper-qa and ask-pdf paper-qa and document-qa-rag-system

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