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RETRIEVAL-AUGMENTED GENERATION
RAG Document Analyzer
PythonLangChainVector DBOpenAI
An intelligent document analysis tool using Retrieval-Augmented Generation. Ingests PDFs, chunks them into vector embeddings, and allows users to query complex information with cited sources.
Key Features
- PDF ingestion and semantic chunking.
- Vector embedding storage in a local database.
- Context-aware query answering with source citations.
- Streamlit/FastAPI interface for interactive querying.