mshojaei77/open-notebook
AI-powered knowledge management and question-answering system
Implements RAG using LangChain with FAISS vector indexing to retrieve relevant knowledge base chunks before querying GPT models, supporting multi-source ingestion (URLs via web crawling, PDFs, raw text). Built on Streamlit with configurable retrieval parameters (top-K documents, chunk size/overlap) and stores processed content as JSON with corresponding FAISS indices for efficient semantic search.
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Language
Python
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Last pushed
Feb 01, 2025
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