Why I Chose PDF RAG Chunking and Metadata for Catalog Semantic Search
Short answer: for semantic search over messy B2B catalog PDFs, I would spend the latency budget during ingestion, preserve page-level evidence, and keep the query path to one embedding plus one vector search; if a catalog must become searchable immediately after every upload, I would choose simpler deterministic chunks and defer enrichment. The decisive constraint is not the PDF parser or the…
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