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RAG Pipeline

RAG Pipeline describes the end-to-end workflow for ingestion, indexing, retrieval, Re-Ranking, and Grounded Generation. In Brain APIs, retrieval is tuned with metadata, filters, and Re-Ranking to keep context high-signal. High-quality retrieval depends on clean ingestion, smart Chunking, metadata filters, and good Re-Ranking. When answers require facts, citations and provenance help users verify claims and correct mistakes quickly. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI

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