RAG System · Python
dir-app
What it is
The repository implements a simple retrieval-augmented generation (RAG) application that fetches arXiv papers, summarizes them using Haystack, generates research directions via OpenAI, and exposes the results through a FastAPI API with a React frontend.
Where it counts
- NLP & LLMs90%
- Machine Learning70%
- Data Science40%
- MLOps30%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the NLP & LLMs board
Whole board- 52, shared rankML-workflow-imageInference System · Shell49.2ImplementationRickNLP & LLMs
- 52, shared ranksnow-cuadDataset / Data Pipeline · Python49.2ImplementationJarad PeckenpaughNLP & LLMs
- 54dir-appRAG System · Python48.7ImplementationkarimsNLP & LLMs
- 55executive-assistantOther AI Project · JavaScript48.2ImplementationJarad PeckenpaughNLP & LLMs
- 56nexus-render-hybridAgent System · Python47.5ImplementationCryptostonerNLP & LLMs
