Inspiration
First ever real project experience, was an honor to contribute to a web application that can be used for many who need critical feedback on their paper
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
Working semantic statistics and classification of papers pulled from DB
What I learned
Working with API, and GitHub repo
What's next for OpenReview RAG Paper Analysis
Caching agents per user, Adding more AI venues to database, setting up auto DB refreshes
Built With
- agentic-ai
- api
- backend
- embedding-agent
- etl-pipeline
- frontend
- langchain
- llm
- python
- qdrant
- semantic-search
- tools
- vector-database
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