REPOGEO REPORT · LITE
mukulpatnaik/researchgpt
Default branch main · commit fcd84165 · scanned 6/27/2026, 5:03:17 PM
GitHub: 3,527 stars · 318 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mukulpatnaik/researchgpt, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXllm, research-assistant, pdf-qa, fastapi, python, openai, embeddings, RAG, local-llm-app, self-hosted
- highreadme#2Reposition README's opening to clarify project type and value
Why:
CURRENT## **This repository is no longer actively maintained. A more advanced version of this project is available at chat.portal.so for free and will be open sourced soon.** # ResearchGPT This is a simple fastapi app that provides a clean interface to enable a conversation with any pdf. You can enter a link to a pdf hosted online or upload your own pdf. The app will then extract the text from the pdf, create embeddings from the text and use them with the openai api to generate a response to a question you ask. It will also return a source for the part of the text it used to generate the response and the page number.
COPY-PASTE FIX# ResearchGPT: An Open-Source FastAPI Application for Local PDF Q&A with LLMs This repository provides a simple, self-hostable FastAPI application that enables conversation with any PDF. It's designed for users looking to build or learn about local LLM-powered research assistants. ## **Note: This repository is no longer actively maintained. A more advanced version of this project is available at chat.portal.so for free and will be open sourced soon.** The app extracts text from PDFs, creates embeddings, and uses them with the OpenAI API to generate responses to your questions, returning sources and page numbers. You can enter a link to an online PDF or upload your own.
- mediumreadme#3Clarify the scope of the example video in the README
Why:
CURRENT## Example (this video shows some features available on the live demo only ) https://user-images.githubusercontent.com/36257370/230793133-ecb579d3-47d9-4200-916a-9c5978a40b09.mp4
COPY-PASTE FIX## Example This video demonstrates the core functionality of ResearchGPT, including features available in this open-source repository. (Note: Some advanced features shown are exclusive to the live demo at https://www.dara.chat). https://user-images.githubusercontent.com/36257370/230793133-ecb579d3-47d9-4200-916a-9c5978a40b09.mp4
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- ChatGPT · recommended 1×
- Perplexity AI · recommended 1×
- Elicit · recommended 1×
- Semantic Scholar · recommended 1×
- Humata AI · recommended 1×
- CATEGORY QUERYHow can I use AI to chat with research papers and extract key information?you: not recommendedAI recommended (in order):
- ChatGPT
- Perplexity AI
- Elicit
- Semantic Scholar
- Humata AI
- ChatPDF
AI recommended 6 alternatives but never named mukulpatnaik/researchgpt. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a tool to build a local PDF question-answering system with LLMs.you: not recommendedAI recommended (in order):
- LlamaIndex (run-llama/llama_index)
- LangChain (langchain-ai/langchain)
- Haystack (deepset-ai/haystack)
- PrivateGPT (imartinez/privateGPT)
- RAGatouille (m-bain/ragatouille)
AI recommended 5 alternatives but never named mukulpatnaik/researchgpt. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of mukulpatnaik/researchgpt?passAI named mukulpatnaik/researchgpt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mukulpatnaik/researchgpt in production, what risks or prerequisites should they evaluate first?passAI named mukulpatnaik/researchgpt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo mukulpatnaik/researchgpt solve, and who is the primary audience?passAI named mukulpatnaik/researchgpt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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mukulpatnaik/researchgpt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite