KushagraB424/Research_Assistant

Full-stack AI app where you can upload research PDFs and ask questions about them. The system extracts text, chunks it, generates embeddings, stores them in MongoDB, and uses semantic search + Gemini to answer questions with source-referenced context.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

JavaScript

License

—

Category

research-paper-rag

Last pushed

Mar 07, 2026

Commits (30d)

0

GitHub
Research Paper RAG · 51 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/KushagraB424/Research_Assistant"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

balajivis/sutra-mas

36,299 multi-agent systems papers collected, 17,969 analyzed with coordination patterns,...

39

matte1782/lecture-mind

VL-JEPA Lecture Summarizer - Event-aware lecture summarization using vision-language understanding

38

ISDO-TUM/Capstone-2025

AI-Agent powered academic paper discovery engine

37

Atik203/Scholar-Flow

ScholarFlow is a SaaS platform designed for researchers, students, professors, and academic...

37

sanketjadhav09/ClearClause-Legal-AI-Assistant

ClearClause: A Legal AI Assistant using Google Gemini API for QnA, summaries, translations, and...

34

Explore Embedding Tools

All categories Trending Embeddings directory Insights