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RAG Workflow

Load and process custom documents (PDF)

Embed documents using sentence transformers

Store embeddings in a vector database (FAISS)

Retrieve relevant chunks with similarity search

Use a language model OpenAI to answer questions

Evaluate results with 5 questions

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Implementing a RAG System over Document using Vector Embeddings

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