AnithaKarre/multimodel_RAG
Multimodal RAG pipeline that ingests PDFs, Word docs, CSVs, Excel files, and embedded images (via Tesseract OCR). Chunks and embeds content with Google Generative AI, indexes in FAISS, and generates grounded answers using Groq LLaMA 3 — with image path attribution.
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Python
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Last pushed
Mar 15, 2026
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