Building a RAG

Building a RAG system for 1 million PDFs is not just an AI problem. It’s a systems engineering challenge.

The real complexity lies in:

• Data ingestion at scale

• Parsing & cleaning noisy documents

• Smart chunking strategies

• Efficient embeddings

• Vector indexing & Approximate Nearest Neighbor(ANN) search

• Fast retrieval + grounded generation

Most production RAG systems succeed or fail based on pipeline design not the LLM alone. Scalable AI starts with scalable retrieval architecture.

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