Research Pilot

Overview

Research Pilot is an all-in-one academic research workspace built to cut down the busywork around reading and writing papers. You upload your sources, then ask questions and get answers backed by exact citations pulled straight from your own documents, so nothing is made up.

Beyond Q&A, it bundles the tools researchers actually reach for: plagiarism checking, citation generation, methodology extraction, and draft writing assistance. Everything stays grounded in your uploaded content through a retrieval-augmented generation pipeline, which keeps responses anchored to real sources instead of guesswork.

Key Features

• Upload papers and ask questions answered with exact, source-linked citations
• Plagiarism checking across your uploaded library
• Automatic citation generation in standard academic formats
• Methodology extraction that pulls study design and methods from dense papers
• Draft writing assistance grounded in your own sources
• RAG pipeline that keeps every answer anchored to retrieved content

How It's Built

Research Pilot is structured around a retrieval-augmented generation pipeline:

• Ingestion: uploaded documents are parsed, chunked, and embedded into a vector store for fast semantic retrieval
• Retrieval: the most relevant passages are pulled for each query and passed to the language model as grounded context
• Generation: the model answers using only retrieved context and attaches citations back to the exact source passages
• Orchestration: a FastAPI backend coordinates ingestion, retrieval, and the research tools, with LangChain managing the prompt and tool flow

On the Roadmap

• Fine-tune a domain-adapted model (Mistral-7B or LLaMA-3 with LoRA) on academic Q&A datasets
• Replace raw API calls for core Q&A with the domain-adapted model for tighter, more reliable answers

Screenshots