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“RAG = vectors” is outdated.A new shift is happening: Vectorless RAG.Instead of embeddings + vector DBs, it uses:• BM25 / keyword search• SQL queries• Knowledge graphs• Direct context injection→ No embeddings→ No re-indexing→ Lower infra costWhy this matters:Vector RAG has problems:• Chunking breaks context• Embedding drift• Expensive infra• Misses exact matchesVectorless RAG works best when:• Data is structured• You need exact answers• Context fits in windowBut here’s the truth:It’s not vector
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