Building a RAG Pipeline from Scratch: Embeddings, Retrieval, and Claude
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Key Points RAG (Retrieval-Augmented Generation) connects an LLM to your private data at query time — no fine-tuning, no retraining, no data leakage into model weights. The pipeline has five stages: Ingest → Chunk → Embed → Store → Query (retrieve, augment, generate). Getting chunking and retrieval…
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- 2026-09-15 15:00 · DEV Community — AI
Building a RAG Pipeline from Scratch: Embeddings, Retrieval, and Claude