iamrahulreddy/cipher
This Graph RAG Application is a web-based tool that allows users to ask questions about the Mission Impossible film franchise and receive detailed, contextually relevant answers. By combining retrieval-based methods with generative AI, the application ensures that responses are both accurate and engaging.
No commits in the last 6 months.
Stars
4
Forks
—
Language
JavaScript
License
MIT
Category
Last pushed
Jul 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/iamrahulreddy/cipher"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
QmiAI/Qmedia
An open-source AI content search engine designed specifically for content creators. Supports...
mazzasaverio/fastapi-langchain-rag
(Let's start with a) Scalable question-answering system utilizing FastAPI, LangChain (LCEL), and...
charliewei0716/on-your-data-with-streamlit
Showcase the use of Azure OpenAI's native On Your Data feature and integrates it with Streamlit,...
ben-ogden/pinecone-rag
Using Pinecone, LangChain + OpenAI for Generative Q&A with Retrieval Augmented Generation (RAG).
thevladdo/rag-backend
Retrieval-Augmented Generation server with Pinecone and OpenAI