Meet your new study buddy 🤖📚 StudySphere AI transforms your notes, PDFs, and YouTube videos into smart summaries, flashcards, and personalized quizzes. Learn faster. Remember longer.
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Updated
Oct 6, 2025 - Python
Meet your new study buddy 🤖📚 StudySphere AI transforms your notes, PDFs, and YouTube videos into smart summaries, flashcards, and personalized quizzes. Learn faster. Remember longer.
Agentic RAG that verifies every citation against source text before answering, and abstains when the evidence does not hold. Self-correcting retrieval loop, deterministic citation grounding, prompt-injection defence.
An agentic, self-correcting RAG pipeline with LLM-as-a-judge validation for zero-hallucination financial analysis. Built with LangGraph, Llama-3, and ChromaDB.
Self-correcting RAG agent over 491k clinical references — grounded, cited medical answers, benchmarked on MIRAGE. Built with LangGraph.
Self-correcting multi-agent RAG pipeline with Chain/Tree of Thought reasoning, full observability, and JWT auth — FastAPI + React + FAISS
Multi-agent self-correcting RAG pipeline with local embeddings and Groq LLM
A minimal self-correcting RAG system that grades its own retrieval before generating answers — and honestly says "I don't know" when context is insufficient.
This project takes a folder of PDF research papers and transforms them into a studio-quality, multi-speaker podcast. It uses a LangGraph Agentic Swarm to draft and self-correct the script, LlamaIndex Hierarchical Retrieval for deep contextual accuracy, and Kokoro TTS + Pydub for dynamic voice assignment and cinematic audio post-production.
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