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Build Retrieval Augmented Generation (RAG) From Scratch
- The RAG pipeline integrates several components.
- The RAGPipeline class initializes with the path to the PDF file and creates a vector database (vec_db) from the document.
- Embeddings are generated for each chunk using the SentenceTransformer model.
- The retrieved chunks are passed to OpenAI’s GPT model to generate a coherent response.
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