Knowledge Studio

A dark, premium Streamlit RAG app for lecture PDFs and document-grounded Q&A.

What it does

• Upload a PDF and build a persistent Chroma index
• Reuse saved indexes without rebuilding embeddings every run
• Ask grounded questions about the active document
• Generate a structured summary from retrieved chunks
• Inspect retrieved source chunks and metadata
• Review simple analytics and feedback signals

Stack

• Streamlit
• LangChain
• ChromaDB
• HuggingFace embeddings
• Groq
• PyMuPDF4LLM

Python version

Use Python 3.11 or 3.12.

Do not use Python 3.14 because Chroma and the Pydantic v1 compatibility layer can fail there.

Run locally

/opt/homebrew/bin/python3.11 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
cp .env.example .env
# add your GROQ_API_KEY to .env
streamlit run app.py

Environment

Create .env from .env.example and set:

GROQ_API_KEY=your_real_groq_api_key

Main pages

• Chat
• Documents
• Sources
• Analytics
• Settings

Notes

• PDF indexing is fully implemented.
• Other file types are surfaced in the UI for future extension.
• The UI styling is adapted from the uploaded knowledge_studio_ui.html design reference.